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    <title>AI For You</title>
    <description>Welcome to AI For You, a podcast hosted by A.I. For Anyone, a non-profit dedicated to helping anyone learn about artificial intelligence. How can we play a part in shaping our future with AI? AI For You will dive into its impact in our communities, where AI stands today, and most importantly, we’ll equip you with the tools and understanding to think about your relationship with AI. Listen to conversations with experts, news updates, and more as we get to know AI as a friend that’s here to stay. Subscribe and connect with the A.I. For Anyone community at aiforanyone.org/</description>
    <copyright>2020 A.I. for Anyone</copyright>
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    <pubDate>Thu, 24 Jun 2021 14:30:00 +0000</pubDate>
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    <itunes:summary>Welcome to AI For You, a podcast hosted by A.I. For Anyone, a non-profit dedicated to helping anyone learn about artificial intelligence. How can we play a part in shaping our future with AI? AI For You will dive into its impact in our communities, where AI stands today, and most importantly, we’ll equip you with the tools and understanding to think about your relationship with AI. Listen to conversations with experts, news updates, and more as we get to know AI as a friend that’s here to stay. Subscribe and connect with the A.I. For Anyone community at aiforanyone.org/</itunes:summary>
    <itunes:author>A.I. For Anyone</itunes:author>
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      <title>Facial Recognition: Where do we go from here?</title>
      <description><![CDATA[<p>Where do we go from here? Today we dive into how to address the harm that comes from facial recognition technology, by asking lots of different experts from our past episodes. They talk about current regulations and systems of power surrounding the technology.</p><p>Subscribe for episodes every other Thursday!</p><p><strong>— Guests: Darren Byler, Jameson Spivack, Ella Jakubowska, Vic Harkness, and Hellen Wu —</strong></p><p>Darren Byler is an Anthropologist and incoming professor at Simon Fraser University who focuses on Uyghur dispossession, infrastructural power, and "terror capitalism."</p><p>Jameson Spivack is an Associate at Georgetown Law Center on Privacy and Technology focused on the use of algorithmic technologies like face recognition, predictive policing, and risk assessment in the criminal legal system</p><p>Ella Jakubowska is a Policy Advisor at European Digital Rights with a strong focus on facial recognition, biometrics, and fundamental rights</p><p>Vic Harkness is a security researcher at F-Secure, based in the South of England.</p><p>Hellen Wu is Chinese American and has encountered facial recognition in China.</p><p><strong>— A.I. For Anyone</strong>, a non-profit dedicated to helping you learn about AI.  <strong>—</strong></p><p>Find us on <a href="http://instagram.com/aiforanyone">Instagram</a>, <a href="https://twitter.com/aiforanyone">Twitter</a>, <a href="https://www.facebook.com/aiforanyone">Facebook</a>, <a href="https://www.linkedin.com/company/ai-for-anyone/">LinkedIn</a>, and <a href="https://www.youtube.com/c/aiforanyone">YouTube</a> at @aiforanyone</p><p>& check us out at <a href="http://aiforanyone.org/">aiforanyone.org/</a></p><p>& email your friends at <a href="mailto:podcast@aiforanyone.org">podcast@aiforanyone.org</a></p><p><i>Brought to you by Aneekah Uddin, Adam Lindquist, Mac McMahon</i>,<i> and the rest of the AI4A team.</i></p>
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      <pubDate>Thu, 24 Jun 2021 14:30:00 +0000</pubDate>
      <author>podcast@aiforanyone.org (Mac McMahon, Adam Lindquist, Aneekah Uddin)</author>
      <link>https://aiforanyone.org/podcast</link>
      <content:encoded><![CDATA[<p>Where do we go from here? Today we dive into how to address the harm that comes from facial recognition technology, by asking lots of different experts from our past episodes. They talk about current regulations and systems of power surrounding the technology.</p><p>Subscribe for episodes every other Thursday!</p><p><strong>— Guests: Darren Byler, Jameson Spivack, Ella Jakubowska, Vic Harkness, and Hellen Wu —</strong></p><p>Darren Byler is an Anthropologist and incoming professor at Simon Fraser University who focuses on Uyghur dispossession, infrastructural power, and "terror capitalism."</p><p>Jameson Spivack is an Associate at Georgetown Law Center on Privacy and Technology focused on the use of algorithmic technologies like face recognition, predictive policing, and risk assessment in the criminal legal system</p><p>Ella Jakubowska is a Policy Advisor at European Digital Rights with a strong focus on facial recognition, biometrics, and fundamental rights</p><p>Vic Harkness is a security researcher at F-Secure, based in the South of England.</p><p>Hellen Wu is Chinese American and has encountered facial recognition in China.</p><p><strong>— A.I. For Anyone</strong>, a non-profit dedicated to helping you learn about AI.  <strong>—</strong></p><p>Find us on <a href="http://instagram.com/aiforanyone">Instagram</a>, <a href="https://twitter.com/aiforanyone">Twitter</a>, <a href="https://www.facebook.com/aiforanyone">Facebook</a>, <a href="https://www.linkedin.com/company/ai-for-anyone/">LinkedIn</a>, and <a href="https://www.youtube.com/c/aiforanyone">YouTube</a> at @aiforanyone</p><p>& check us out at <a href="http://aiforanyone.org/">aiforanyone.org/</a></p><p>& email your friends at <a href="mailto:podcast@aiforanyone.org">podcast@aiforanyone.org</a></p><p><i>Brought to you by Aneekah Uddin, Adam Lindquist, Mac McMahon</i>,<i> and the rest of the AI4A team.</i></p>
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      <itunes:title>Facial Recognition: Where do we go from here?</itunes:title>
      <itunes:author>Mac McMahon, Adam Lindquist, Aneekah Uddin</itunes:author>
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      <itunes:duration>00:33:01</itunes:duration>
      <itunes:summary>In the third and final episode of the facial recognition series, what’s being done and what’s not being done to address those harms that come from facial recognition technology.</itunes:summary>
      <itunes:subtitle>In the third and final episode of the facial recognition series, what’s being done and what’s not being done to address those harms that come from facial recognition technology.</itunes:subtitle>
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      <title>Facial Recognition: What if it hurts more than it helps?</title>
      <description><![CDATA[<p>What if facial recognition causes more harm than help? We dive into the bias embedded in facial recognition technology itself and the bias in the use of these tools by law enforcement and the government through stories, conversations, and lots of research.</p><p>Subscribe for episodes every other Thursday!</p><p><strong>— Guests:</strong> <strong>Darren Byler, Jameson Spivack, and Ella Jakubowska</strong> <strong>—</strong></p><p>Darren Byler is an Anthropologist and incoming professor at Simon Fraser University who focuses on Uyghur dispossession, infrastructural power, and "terror capitalism."</p><p>Jameson Spivack is an Associate at Georgetown Law Center on Privacy and Technology focused on the use of algorithmic technologies like face recognition, predictive policing, and risk assessment in the criminal legal system</p><p>Ella Jakubowska is a Policy Advisor at European Digital Rights with a strong focus on facial recognition, biometrics, and fundamental rights</p><p><strong>— Links —</strong></p><ul><li><a href="https://www.ruhabenjamin.com/race-after-technology">Race After Technology by Ruha Benjamin</a></li><li><a href="https://www.youtube.com/watch?v=hwHnXdoSSFY">Interview with Joy Buolawmini</a></li></ul><p><strong>— A.I. For Anyone</strong>, a non-profit dedicated to helping you learn about AI.  <strong>—</strong></p><p>Find us on <a href="http://instagram.com/aiforanyone">Instagram</a>, <a href="https://twitter.com/aiforanyone">Twitter</a>, <a href="https://www.facebook.com/aiforanyone">Facebook</a>, <a href="https://www.linkedin.com/company/ai-for-anyone/">LinkedIn</a> and <a href="https://www.youtube.com/c/aiforanyone">YouTube</a> at @aiforanyone</p><p>& check us out at <a href="http://aiforanyone.org/">aiforanyone.org/</a></p><p>& email your friends at <a href="mailto:podcast@aiforanyone.org">podcast@aiforanyone.org</a></p><p><i>Brought to you by Adam Lindquist, Aneekah Uddin, Mac McMahon and the rest of the AI4A team</i></p>
]]></description>
      <pubDate>Thu, 10 Jun 2021 10:30:00 +0000</pubDate>
      <author>podcast@aiforanyone.org (A.I. For Anyone)</author>
      <link>https://aiforanyone.org/podcast</link>
      <content:encoded><![CDATA[<p>What if facial recognition causes more harm than help? We dive into the bias embedded in facial recognition technology itself and the bias in the use of these tools by law enforcement and the government through stories, conversations, and lots of research.</p><p>Subscribe for episodes every other Thursday!</p><p><strong>— Guests:</strong> <strong>Darren Byler, Jameson Spivack, and Ella Jakubowska</strong> <strong>—</strong></p><p>Darren Byler is an Anthropologist and incoming professor at Simon Fraser University who focuses on Uyghur dispossession, infrastructural power, and "terror capitalism."</p><p>Jameson Spivack is an Associate at Georgetown Law Center on Privacy and Technology focused on the use of algorithmic technologies like face recognition, predictive policing, and risk assessment in the criminal legal system</p><p>Ella Jakubowska is a Policy Advisor at European Digital Rights with a strong focus on facial recognition, biometrics, and fundamental rights</p><p><strong>— Links —</strong></p><ul><li><a href="https://www.ruhabenjamin.com/race-after-technology">Race After Technology by Ruha Benjamin</a></li><li><a href="https://www.youtube.com/watch?v=hwHnXdoSSFY">Interview with Joy Buolawmini</a></li></ul><p><strong>— A.I. For Anyone</strong>, a non-profit dedicated to helping you learn about AI.  <strong>—</strong></p><p>Find us on <a href="http://instagram.com/aiforanyone">Instagram</a>, <a href="https://twitter.com/aiforanyone">Twitter</a>, <a href="https://www.facebook.com/aiforanyone">Facebook</a>, <a href="https://www.linkedin.com/company/ai-for-anyone/">LinkedIn</a> and <a href="https://www.youtube.com/c/aiforanyone">YouTube</a> at @aiforanyone</p><p>& check us out at <a href="http://aiforanyone.org/">aiforanyone.org/</a></p><p>& email your friends at <a href="mailto:podcast@aiforanyone.org">podcast@aiforanyone.org</a></p><p><i>Brought to you by Adam Lindquist, Aneekah Uddin, Mac McMahon and the rest of the AI4A team</i></p>
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      <itunes:title>Facial Recognition: What if it hurts more than it helps?</itunes:title>
      <itunes:author>A.I. For Anyone</itunes:author>
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      <itunes:duration>00:32:05</itunes:duration>
      <itunes:summary>In the second episode of our facial recognition series, Adam, Aneekah and Mac dive into the harm and bias that facial recognition and its use has.</itunes:summary>
      <itunes:subtitle>In the second episode of our facial recognition series, Adam, Aneekah and Mac dive into the harm and bias that facial recognition and its use has.</itunes:subtitle>
      <itunes:explicit>no</itunes:explicit>
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      <title>Facial Recognition: From Bathrooms to Clearview AI to Jaywalking Cams</title>
      <description><![CDATA[<p>How can a camera and a few lines of code identify who we are? On the show, we dive into facial recognition, how it works (neural networks and all that jazz), and how/why it's being used in the US and China, especially by the government and police.</p><p>Subscribe for episodes every other Thursday!</p><p><strong>— Guests: Vic Harkness, Sargeant Jason Webb, Hellen Wu—</strong></p><p><strong>Vic Harkness</strong> is a security researcher at F-Secure, based in the South of England. (<a href="https://www.linkedin.com/in/vic-harkness-86582116b/">LinkedIn</a> / <a href="https://twitter.com/VicHarkness">Twitter</a>)</p><p><strong>Sargeant</strong> <strong>Jason Webb</strong> is an intelligence officer and Sargeant in Oxford, Alabama, who uses Clearview AI.</p><p><strong>Hellen Wu</strong> is Chinese American and has encountered facial recognition in China.</p><p><strong>— Links —</strong></p><ul><li><a href="https://www.youtube.com/watch?v=q-1bR3P9RAw&ab_channel=CNNBusiness"><i>CNN Video with Clearview CEO Hoan Ton-That</i></a></li><li><a href="https://www.cnn.com/2020/05/19/asia/china-kidnapped-son-reunited-intl-hnk/index.html"><i>News Article about Missing Child in China</i></a></li></ul><p><strong>— A.I. For Anyone</strong>, a non-profit dedicated to helping you learn about AI.  <strong>—</strong></p><p>Find us on <a href="http://instagram.com/aiforanyone">Instagram</a>, <a href="https://twitter.com/aiforanyone">Twitter</a>, <a href="https://www.facebook.com/aiforanyone">Facebook</a>, <a href="https://www.linkedin.com/company/ai-for-anyone/">LinkedIn</a> and <a href="https://www.youtube.com/c/aiforanyone">YouTube</a> at @aiforanyone</p><p>& check us out at <a href="http://aiforanyone.org/">aiforanyone.org/</a></p><p>& email your friends at <a href="mailto:podcast@aiforanyone.org">podcast@aiforanyone.org</a></p><p><i>Brought to you by Adam Lindquist, Aneekah Uddin, Francisco Nawrath, Mac McMahon</i>,<i> and the rest of the AI4A team</i></p>
]]></description>
      <pubDate>Thu, 27 May 2021 10:30:00 +0000</pubDate>
      <author>podcast@aiforanyone.org (Francisco Nawrath, Mac McMahon, Adam Lindquist, Sgt. Jason Webb, Vic Harkness, Aneekah Uddin, Hellen Wu)</author>
      <link>https://aiforanyone.org/podcast</link>
      <content:encoded><![CDATA[<p>How can a camera and a few lines of code identify who we are? On the show, we dive into facial recognition, how it works (neural networks and all that jazz), and how/why it's being used in the US and China, especially by the government and police.</p><p>Subscribe for episodes every other Thursday!</p><p><strong>— Guests: Vic Harkness, Sargeant Jason Webb, Hellen Wu—</strong></p><p><strong>Vic Harkness</strong> is a security researcher at F-Secure, based in the South of England. (<a href="https://www.linkedin.com/in/vic-harkness-86582116b/">LinkedIn</a> / <a href="https://twitter.com/VicHarkness">Twitter</a>)</p><p><strong>Sargeant</strong> <strong>Jason Webb</strong> is an intelligence officer and Sargeant in Oxford, Alabama, who uses Clearview AI.</p><p><strong>Hellen Wu</strong> is Chinese American and has encountered facial recognition in China.</p><p><strong>— Links —</strong></p><ul><li><a href="https://www.youtube.com/watch?v=q-1bR3P9RAw&ab_channel=CNNBusiness"><i>CNN Video with Clearview CEO Hoan Ton-That</i></a></li><li><a href="https://www.cnn.com/2020/05/19/asia/china-kidnapped-son-reunited-intl-hnk/index.html"><i>News Article about Missing Child in China</i></a></li></ul><p><strong>— A.I. For Anyone</strong>, a non-profit dedicated to helping you learn about AI.  <strong>—</strong></p><p>Find us on <a href="http://instagram.com/aiforanyone">Instagram</a>, <a href="https://twitter.com/aiforanyone">Twitter</a>, <a href="https://www.facebook.com/aiforanyone">Facebook</a>, <a href="https://www.linkedin.com/company/ai-for-anyone/">LinkedIn</a> and <a href="https://www.youtube.com/c/aiforanyone">YouTube</a> at @aiforanyone</p><p>& check us out at <a href="http://aiforanyone.org/">aiforanyone.org/</a></p><p>& email your friends at <a href="mailto:podcast@aiforanyone.org">podcast@aiforanyone.org</a></p><p><i>Brought to you by Adam Lindquist, Aneekah Uddin, Francisco Nawrath, Mac McMahon</i>,<i> and the rest of the AI4A team</i></p>
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      <itunes:title>Facial Recognition: From Bathrooms to Clearview AI to Jaywalking Cams</itunes:title>
      <itunes:author>Francisco Nawrath, Mac McMahon, Adam Lindquist, Sgt. Jason Webb, Vic Harkness, Aneekah Uddin, Hellen Wu</itunes:author>
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      <itunes:duration>00:23:34</itunes:duration>
      <itunes:summary>Facial Recognition, Clearview AI, Government and Policing Technology. All of this has been in the news recently, but today we dive into how it works, why it&apos;s being used, and of course, some pretty intense stories from the US and abroad to get you started on our newest three-part series.</itunes:summary>
      <itunes:subtitle>Facial Recognition, Clearview AI, Government and Policing Technology. All of this has been in the news recently, but today we dive into how it works, why it&apos;s being used, and of course, some pretty intense stories from the US and abroad to get you started on our newest three-part series.</itunes:subtitle>
      <itunes:keywords>tech and society, hellen wu, neural networks, technology, jason webb, police, government, vic harkness, artificial intelligence, hoan ton that, china, clearview ai, ml, govt, policing, facial recognition, ai, government technology, tech, sgt. jason webb</itunes:keywords>
      <itunes:explicit>no</itunes:explicit>
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      <title>Why you should care about GPT-3</title>
      <description><![CDATA[<p>GPT-3 is a language model — a tool that is impressively generates synthetic text when given something to start with. We talk with Zack from Copy AI and Akshay from Georgian about how they currently use GPT-3 at work, what it's good at, and what we should watch out for.</p><p>Subscribe for episodes every other Thursday!</p><p><strong>— Guests: Zack Lee and Akshay Budhkar —</strong></p><p><a href="https://wenquai.com/">Zack Lee</a> is currently the lead AI engineer at Copy AI where he manages how GPT-3 powers their product. He's interested in deep learning tech and NLP and currently lives in Brooklyn, NY with his 3 cats.</p><p><a href="https://www.linkedin.com/in/akshay-budhkar-06259041/">Akshay Budhkar</a> is an applied research scientist at Georgian and a member of the R&D team, where he focuses on engagements with portfolio companies, mainly in NLP. Akshay holds an MSc. in Computer Science at the University of Toronto, affiliated with the Vector Institute.</p><p><strong>— Links —</strong></p><ul><li><a href="https://colab.research.google.com/drive/1zLjwtj13uWn3NhNY2GwSwTMvXNGAdOl6?usp=sharing">Experiment with GPT-Neo</a>, an open-source version of GPT-3 straight from your browser</li><li>Join the waitlist to access GPT-3 by requesting on <a href="https://openai.com/blog/openai-api/">Open AI's website</a></li></ul><p><strong>— A.I. For Anyone</strong>, a non-profit dedicated to helping you learn about AI.  <strong>—</strong></p><p>Find us on <a href="http://instagram.com/aiforanyone">Instagram</a>, <a href="https://twitter.com/aiforanyone">Twitter</a>, <a href="https://www.facebook.com/aiforanyone">Facebook</a>, <a href="https://www.linkedin.com/company/ai-for-anyone/">LinkedIn</a> and <a href="https://www.youtube.com/c/aiforanyone">YouTube</a> at @aiforanyone</p><p>& check us out at <a href="http://aiforanyone.org/">aiforanyone.org/</a></p><p>& email your friends at <a href="mailto:podcast@aiforanyone.org">podcast@aiforanyone.org</a></p><p><i>Brought to you by </i><a href="https://twitter.com/_jzhao"><i>Jacky Zhao</i></a><i>, Mac McMahon, </i><a href="https://twitter.com/coriils"><i>Serena Chao</i></a><i>, William Overton and the rest of the AI4A team</i></p>
]]></description>
      <pubDate>Thu, 20 May 2021 10:00:00 +0000</pubDate>
      <author>podcast@aiforanyone.org (William Overton, Mac McMahon, Serena Chao, Zack Lee, Akshay Budhkar, Jacky Zhao)</author>
      <link>https://aiforanyone.org/podcast</link>
      <content:encoded><![CDATA[<p>GPT-3 is a language model — a tool that is impressively generates synthetic text when given something to start with. We talk with Zack from Copy AI and Akshay from Georgian about how they currently use GPT-3 at work, what it's good at, and what we should watch out for.</p><p>Subscribe for episodes every other Thursday!</p><p><strong>— Guests: Zack Lee and Akshay Budhkar —</strong></p><p><a href="https://wenquai.com/">Zack Lee</a> is currently the lead AI engineer at Copy AI where he manages how GPT-3 powers their product. He's interested in deep learning tech and NLP and currently lives in Brooklyn, NY with his 3 cats.</p><p><a href="https://www.linkedin.com/in/akshay-budhkar-06259041/">Akshay Budhkar</a> is an applied research scientist at Georgian and a member of the R&D team, where he focuses on engagements with portfolio companies, mainly in NLP. Akshay holds an MSc. in Computer Science at the University of Toronto, affiliated with the Vector Institute.</p><p><strong>— Links —</strong></p><ul><li><a href="https://colab.research.google.com/drive/1zLjwtj13uWn3NhNY2GwSwTMvXNGAdOl6?usp=sharing">Experiment with GPT-Neo</a>, an open-source version of GPT-3 straight from your browser</li><li>Join the waitlist to access GPT-3 by requesting on <a href="https://openai.com/blog/openai-api/">Open AI's website</a></li></ul><p><strong>— A.I. For Anyone</strong>, a non-profit dedicated to helping you learn about AI.  <strong>—</strong></p><p>Find us on <a href="http://instagram.com/aiforanyone">Instagram</a>, <a href="https://twitter.com/aiforanyone">Twitter</a>, <a href="https://www.facebook.com/aiforanyone">Facebook</a>, <a href="https://www.linkedin.com/company/ai-for-anyone/">LinkedIn</a> and <a href="https://www.youtube.com/c/aiforanyone">YouTube</a> at @aiforanyone</p><p>& check us out at <a href="http://aiforanyone.org/">aiforanyone.org/</a></p><p>& email your friends at <a href="mailto:podcast@aiforanyone.org">podcast@aiforanyone.org</a></p><p><i>Brought to you by </i><a href="https://twitter.com/_jzhao"><i>Jacky Zhao</i></a><i>, Mac McMahon, </i><a href="https://twitter.com/coriils"><i>Serena Chao</i></a><i>, William Overton and the rest of the AI4A team</i></p>
]]></content:encoded>
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      <itunes:title>Why you should care about GPT-3</itunes:title>
      <itunes:author>William Overton, Mac McMahon, Serena Chao, Zack Lee, Akshay Budhkar, Jacky Zhao</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/f3693ab2-dab7-4cd7-b13c-d57d8577663c/e99947eb-ae14-40d8-8f65-10a2bcca1681/3000x3000/s2e1-ig.jpg?aid=rss_feed"/>
      <itunes:duration>00:20:28</itunes:duration>
      <itunes:summary>What is GPT-3 and why is everyone talking about it? A brief foray what it is, what people are using it for, and why you should care about it.</itunes:summary>
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      <title>AI For You is Back!</title>
      <description><![CDATA[<p>Welcome back to AI For You, a podcast hosted by AI for Anyone — a non-profit dedicated to helping anyone learn about artificial intelligence.</p><p><strong>Season 2 is all about the deep dives.</strong> This season, we're focusing on the intersection of AI with other fields. You'll hear from us on exciting topics like Facial Recognition, GPT-3, Education, and Music - just to name a few.</p><p>We dive into how AI impacts our communities, where AI is currently at, and we give you the tools to think about your relationship with AI. Listen along to conversations with experts, open-ended discussions, and more as we get to know AI better as a friend that's here to stay.</p><p>Subscribe for episodes <strong>every other Thursday</strong>!</p><p><strong>— A.I. For Anyone, a non-profit dedicated to helping you learn about AI.  —</strong></p><p>Find us on <a href="http://instagram.com/aiforanyone">Instagram</a>, <a href="https://twitter.com/aiforanyone">Twitter</a>, <a href="https://www.facebook.com/aiforanyone">Facebook</a>, <a href="https://www.linkedin.com/company/ai-for-anyone/">LinkedIn</a> and <a href="https://www.youtube.com/c/aiforanyone">YouTube</a> at @aiforanyone</p><ul><li>check us out at <a href="http://aiforanyone.org/podcast">aiforanyone.org/podcast</a></li><li>send us your feedback and guest recos <a href="https://forms.gle/NmKTKaTCf33djLvo9">here</a>!</li><li>email us (your friends) at <a href="mailto:podcast@aiforanyone.org">podcast@aiforanyone.org</a></li></ul><p><i>Special thanks to Ella Jukabowski, Sergeant Jason Webb, and Liz O'Sullivan. Brought to you by Mac McMahon, Adam Lindquist, Jacky Zhao (</i><a href="https://twitter.com/_jzhao" target="_blank">_jzhao</a><i>), Serena Chao (</i><a href="https://twitter.com/coriils" target="_blank"><i>@coriils</i></a><i>), and the rest of the AI4A team</i></p>
]]></description>
      <pubDate>Thu, 6 May 2021 12:00:00 +0000</pubDate>
      <author>podcast@aiforanyone.org (Mac McMahon, Liz O&apos;Sullivan, Serena Chao, Ella Jukabowski, Adam Lindquist, Sgt. Jason Webb, Jacky Zhao)</author>
      <link>https://aiforanyone.org/podcast</link>
      <content:encoded><![CDATA[<p>Welcome back to AI For You, a podcast hosted by AI for Anyone — a non-profit dedicated to helping anyone learn about artificial intelligence.</p><p><strong>Season 2 is all about the deep dives.</strong> This season, we're focusing on the intersection of AI with other fields. You'll hear from us on exciting topics like Facial Recognition, GPT-3, Education, and Music - just to name a few.</p><p>We dive into how AI impacts our communities, where AI is currently at, and we give you the tools to think about your relationship with AI. Listen along to conversations with experts, open-ended discussions, and more as we get to know AI better as a friend that's here to stay.</p><p>Subscribe for episodes <strong>every other Thursday</strong>!</p><p><strong>— A.I. For Anyone, a non-profit dedicated to helping you learn about AI.  —</strong></p><p>Find us on <a href="http://instagram.com/aiforanyone">Instagram</a>, <a href="https://twitter.com/aiforanyone">Twitter</a>, <a href="https://www.facebook.com/aiforanyone">Facebook</a>, <a href="https://www.linkedin.com/company/ai-for-anyone/">LinkedIn</a> and <a href="https://www.youtube.com/c/aiforanyone">YouTube</a> at @aiforanyone</p><ul><li>check us out at <a href="http://aiforanyone.org/podcast">aiforanyone.org/podcast</a></li><li>send us your feedback and guest recos <a href="https://forms.gle/NmKTKaTCf33djLvo9">here</a>!</li><li>email us (your friends) at <a href="mailto:podcast@aiforanyone.org">podcast@aiforanyone.org</a></li></ul><p><i>Special thanks to Ella Jukabowski, Sergeant Jason Webb, and Liz O'Sullivan. Brought to you by Mac McMahon, Adam Lindquist, Jacky Zhao (</i><a href="https://twitter.com/_jzhao" target="_blank">_jzhao</a><i>), Serena Chao (</i><a href="https://twitter.com/coriils" target="_blank"><i>@coriils</i></a><i>), and the rest of the AI4A team</i></p>
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      <itunes:title>AI For You is Back!</itunes:title>
      <itunes:author>Mac McMahon, Liz O&apos;Sullivan, Serena Chao, Ella Jukabowski, Adam Lindquist, Sgt. Jason Webb, Jacky Zhao</itunes:author>
      <itunes:image href="https://image.simplecastcdn.com/images/f3693ab2-dab7-4cd7-b13c-d57d8577663c/ec54b386-1595-43da-b85f-b259616a3948/3000x3000/ig4.jpg?aid=rss_feed"/>
      <itunes:duration>00:03:14</itunes:duration>
      <itunes:summary>Season 2 is all about the deep dives into the intersection of AI with other fields. Stay tuned for episodes every other Thursday to help anyone, including you, learn about artificial intelligence.</itunes:summary>
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      <title>Viewing AI Through a Holistic Lens (with Abhishek Mathur)</title>
      <description><![CDATA[<p>Abhishek Mathur highlights how critical it is to approach the field of AI with a holistic lens - in the training data, the applications, and the team behind it. He also discusses the increasing need for AI ethicists, his transition from consulting into product, and the varying skillsets and roles needed in the AI industry that expand beyond technical development. </p><p>Subscribe for episodes every other Thursday!</p><p><strong>— Guest: Abhishek Mathur — </strong></p><p>Abhishek is a product management leader, an artificial intelligence practitioner, and an educator. He has led product management and engineering teams at Clarifai, IBM, and Kasisto, to build a variety of artificial intelligence applications within the space of computer vision, natural language processing, and recommendation systems. Abhishek enjoys having deep conversations about the future of technology, and helping aspiring product managers enter and accelerate their careers.</p><ul><li><a href="https://twitter.com/AbhiMathur_">Twitter</a></li><li><a href="https://www.linkedin.com/in/abhishek89/">LinkedIn</a></li></ul><p><strong>— Links — </strong></p><ul><li>Yes! <a href="https://www.machinelearningisfun.com/">Machine Learning Is Fun</a>!</li><li>Andrew Ng’s intro to AI on Coursera: <a href="https://www.coursera.org/learn/ai-for-everyone">AI For Everyone</a><ul><li>Next, consider taking his <a href="https://www.coursera.org/learn/machine-learning">Machine Learning</a> course as well!</li></ul></li><li>Big Tech AI Blogs: <a href="https://ai.facebook.com/blog/">Facebook</a>, <a href="https://blogs.microsoft.com/ai/">Microsoft</a>, <a href="https://ai.googleblog.com/">Google</a>, <a href="https://machinelearning.apple.com/">Apple</a></li><li>Open AI’s GPT-3, the most powerful language model to date, can be used to <a href="https://twitter.com/sharifshameem/status/1282676454690451457">design websites</a>, <a href="https://www.gwern.net/GPT-3">write creative fiction</a>, and more.</li></ul><p><strong>— A.I. For Anyone, a non-profit dedicated to helping you learn about AI.  —</strong></p><p>Find us on <a href="http://instagram.com/aiforanyone">Instagram</a>, <a href="https://twitter.com/aiforanyone">Twitter</a>, <a href="https://www.facebook.com/aiforanyone">Facebook</a>, <a href="https://www.linkedin.com/company/ai-for-anyone/">LinkedIn</a> and <a href="https://www.youtube.com/c/aiforanyone">YouTube</a> at @aiforanyone</p><ul><li>check us out at <a href="http://aiforanyone.org/podcast">aiforanyone.org/podcast</a></li><li>send us your feedback and guest recos <a href="https://forms.gle/NmKTKaTCf33djLvo9">here</a>!</li><li>email your friends at <a href="mailto:podcast@aiforanyone.org">podcast@aiforanyone.org</a></li></ul><p><i>Brought to you by Haroon Choudery (</i><a href="https://twitter.com/haroonchoudery"><i>@haroonchoudery</i></a><i>), Mac McMahon, Serena Chao (</i><a href="https://twitter.com/coriils"><i>@coriils</i></a><i>), Nandana Yadla, Jacob Ludwig, and the rest of the AI4A team</i></p>
]]></description>
      <pubDate>Fri, 2 Oct 2020 11:00:00 +0000</pubDate>
      <author>podcast@aiforanyone.org (Abhishek Mathur, Mac McMahon, Serena Chao)</author>
      <link>https://aiforanyone.org/podcast</link>
      <content:encoded><![CDATA[<p>Abhishek Mathur highlights how critical it is to approach the field of AI with a holistic lens - in the training data, the applications, and the team behind it. He also discusses the increasing need for AI ethicists, his transition from consulting into product, and the varying skillsets and roles needed in the AI industry that expand beyond technical development. </p><p>Subscribe for episodes every other Thursday!</p><p><strong>— Guest: Abhishek Mathur — </strong></p><p>Abhishek is a product management leader, an artificial intelligence practitioner, and an educator. He has led product management and engineering teams at Clarifai, IBM, and Kasisto, to build a variety of artificial intelligence applications within the space of computer vision, natural language processing, and recommendation systems. Abhishek enjoys having deep conversations about the future of technology, and helping aspiring product managers enter and accelerate their careers.</p><ul><li><a href="https://twitter.com/AbhiMathur_">Twitter</a></li><li><a href="https://www.linkedin.com/in/abhishek89/">LinkedIn</a></li></ul><p><strong>— Links — </strong></p><ul><li>Yes! <a href="https://www.machinelearningisfun.com/">Machine Learning Is Fun</a>!</li><li>Andrew Ng’s intro to AI on Coursera: <a href="https://www.coursera.org/learn/ai-for-everyone">AI For Everyone</a><ul><li>Next, consider taking his <a href="https://www.coursera.org/learn/machine-learning">Machine Learning</a> course as well!</li></ul></li><li>Big Tech AI Blogs: <a href="https://ai.facebook.com/blog/">Facebook</a>, <a href="https://blogs.microsoft.com/ai/">Microsoft</a>, <a href="https://ai.googleblog.com/">Google</a>, <a href="https://machinelearning.apple.com/">Apple</a></li><li>Open AI’s GPT-3, the most powerful language model to date, can be used to <a href="https://twitter.com/sharifshameem/status/1282676454690451457">design websites</a>, <a href="https://www.gwern.net/GPT-3">write creative fiction</a>, and more.</li></ul><p><strong>— A.I. For Anyone, a non-profit dedicated to helping you learn about AI.  —</strong></p><p>Find us on <a href="http://instagram.com/aiforanyone">Instagram</a>, <a href="https://twitter.com/aiforanyone">Twitter</a>, <a href="https://www.facebook.com/aiforanyone">Facebook</a>, <a href="https://www.linkedin.com/company/ai-for-anyone/">LinkedIn</a> and <a href="https://www.youtube.com/c/aiforanyone">YouTube</a> at @aiforanyone</p><ul><li>check us out at <a href="http://aiforanyone.org/podcast">aiforanyone.org/podcast</a></li><li>send us your feedback and guest recos <a href="https://forms.gle/NmKTKaTCf33djLvo9">here</a>!</li><li>email your friends at <a href="mailto:podcast@aiforanyone.org">podcast@aiforanyone.org</a></li></ul><p><i>Brought to you by Haroon Choudery (</i><a href="https://twitter.com/haroonchoudery"><i>@haroonchoudery</i></a><i>), Mac McMahon, Serena Chao (</i><a href="https://twitter.com/coriils"><i>@coriils</i></a><i>), Nandana Yadla, Jacob Ludwig, and the rest of the AI4A team</i></p>
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      <itunes:title>Viewing AI Through a Holistic Lens (with Abhishek Mathur)</itunes:title>
      <itunes:author>Abhishek Mathur, Mac McMahon, Serena Chao</itunes:author>
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      <itunes:summary>In what ways can and should we work with AI? Thinking from both an ethics and technical perspective can help us answer that question. </itunes:summary>
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      <title>The Human Element of AI (with Henry Zhang)</title>
      <description><![CDATA[<p>Henry Zhang joins Mac in conversations about his past AI-related projects throughout his undergraduate career which includes the human element in AI and how AI is used as a safety mechanism on YouTube. As a recent grad, Henry also shares how he found his way into the AI space, and how you can find yours.</p><p>Subscribe for episodes every other Thursday!</p><p><strong>— Guest: Henry Zhang — </strong></p><p>With a degree in robotics engineering, Henry pursued AI internships at Google and Bloomberg, as well as research opportunities in data integration and deep reinforcement learning. At Google, Henry leveraged natural learning processing (NLP) and active learning to make YouTube a safer place, and at Bloomberg, he researched NLP algorithms to understand news articles. Academically, Henry <a href="https://ieeexplore.ieee.org/abstract/document/8827945">published an algorithm</a> to allow for inferences across multiple data sources.</p><p><strong>— A.I. For Anyone, a non-profit dedicated to helping you learn about AI.  —</strong></p><p>Find us on <a href="http://instagram.com/aiforanyone">Instagram</a>, <a href="https://twitter.com/aiforanyone">Twitter</a>, <a href="https://www.facebook.com/aiforanyone">Facebook</a>, <a href="https://www.linkedin.com/company/ai-for-anyone/">LinkedIn</a>, and <a href="https://www.youtube.com/c/aiforanyone">YouTube</a> at @aiforanyone</p><p>& check out our most recent <a href="https://onwardstate.com/2020/09/11/penn-state-alum-giving-back-through-artificial-intelligence-instruction/">feature on Penn State’s student blog</a></p><p>& tell us who you want us to bring on the podcast and what you’d like to hear at <a href="https://aiforanyone.org/podcast">aiforanyone.org/podcast</a></p><p><i>Brought to you by Haroon Choudery (</i><a href="https://twitter.com/haroonchoudery"><i>@haroonchoudery</i></a><i>), Mac McMahon, Serena Chao (</i><a href="https://twitter.com/coriils"><i>@coriils</i></a><i>), Nandana Yadla, Jacob Ludwig, and the rest of the AI4A team</i></p>
]]></description>
      <pubDate>Mon, 21 Sep 2020 10:00:25 +0000</pubDate>
      <author>podcast@aiforanyone.org (Mac McMahon, Henry Zhang, Serena Chao)</author>
      <link>https://aiforanyone.org/podcast</link>
      <content:encoded><![CDATA[<p>Henry Zhang joins Mac in conversations about his past AI-related projects throughout his undergraduate career which includes the human element in AI and how AI is used as a safety mechanism on YouTube. As a recent grad, Henry also shares how he found his way into the AI space, and how you can find yours.</p><p>Subscribe for episodes every other Thursday!</p><p><strong>— Guest: Henry Zhang — </strong></p><p>With a degree in robotics engineering, Henry pursued AI internships at Google and Bloomberg, as well as research opportunities in data integration and deep reinforcement learning. At Google, Henry leveraged natural learning processing (NLP) and active learning to make YouTube a safer place, and at Bloomberg, he researched NLP algorithms to understand news articles. Academically, Henry <a href="https://ieeexplore.ieee.org/abstract/document/8827945">published an algorithm</a> to allow for inferences across multiple data sources.</p><p><strong>— A.I. For Anyone, a non-profit dedicated to helping you learn about AI.  —</strong></p><p>Find us on <a href="http://instagram.com/aiforanyone">Instagram</a>, <a href="https://twitter.com/aiforanyone">Twitter</a>, <a href="https://www.facebook.com/aiforanyone">Facebook</a>, <a href="https://www.linkedin.com/company/ai-for-anyone/">LinkedIn</a>, and <a href="https://www.youtube.com/c/aiforanyone">YouTube</a> at @aiforanyone</p><p>& check out our most recent <a href="https://onwardstate.com/2020/09/11/penn-state-alum-giving-back-through-artificial-intelligence-instruction/">feature on Penn State’s student blog</a></p><p>& tell us who you want us to bring on the podcast and what you’d like to hear at <a href="https://aiforanyone.org/podcast">aiforanyone.org/podcast</a></p><p><i>Brought to you by Haroon Choudery (</i><a href="https://twitter.com/haroonchoudery"><i>@haroonchoudery</i></a><i>), Mac McMahon, Serena Chao (</i><a href="https://twitter.com/coriils"><i>@coriils</i></a><i>), Nandana Yadla, Jacob Ludwig, and the rest of the AI4A team</i></p>
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      <itunes:title>The Human Element of AI (with Henry Zhang)</itunes:title>
      <itunes:author>Mac McMahon, Henry Zhang, Serena Chao</itunes:author>
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      <itunes:duration>00:54:35</itunes:duration>
      <itunes:summary>How can we leverage the capabilities of AI? Beyond scale, it can be a tool that protects us - both in practice and in our work. 
</itunes:summary>
      <itunes:subtitle>How can we leverage the capabilities of AI? Beyond scale, it can be a tool that protects us - both in practice and in our work. 
</itunes:subtitle>
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      <title>Intro to Artificial Intelligence (with A.I. For Anyone)</title>
      <description><![CDATA[<p>We’ve heard from experts and industry leaders about how computer vision is applied to self-driving cars and the implications of bias in AI. But let's go back to the basics first. For a foundation to artificial intelligence, we take inspiration from our successful Intro to AI workshop with the Mark Cuban Foundation to bring you this bonus episode today.</p><p>Subscribe for episodes every other Thursday! We’ll be back with interviews next time!</p><p><strong>— Links — </strong></p><ul><li><a href="https://www.youtube.com/watch?v=J8isqIBTvYw">Learn AI in 60 Minutes | An introduction to artificial intelligence</a></li><li><a href="https://www.youtube.com/watch?v=kUGeRHzQgJc">AI in Healthcare 101 | How AI is being used in the healthcare industry</a></li><li><a href="https://www.youtube.com/watch?v=W1A2UnzB6g4">Jobs in AI & Data Science | An overview of jobs in artificial intelligence and data science</a></li></ul><p><strong>— A.I. For Anyone, a non-profit dedicated to helping you learn about AI.  —</strong></p><p>Find us on <a href="http://instagram.com/aiforanyone">Instagram</a>, <a href="https://twitter.com/aiforanyone">Twitter</a>, <a href="https://www.facebook.com/aiforanyone">Facebook</a>, <a href="https://www.linkedin.com/company/ai-for-anyone/">LinkedIn</a> and <a href="https://www.youtube.com/c/aiforanyone">YouTube</a> at @aiforanyone</p><p>& check us out at <a href="http://aiforanyone.org/">aiforanyone.org/</a></p><p>& email your friends at podcast@aiforanyone.org</p><p><i>Brought to you by Haroon Choudery (</i><a href="https://twitter.com/haroonchoudery"><i>@haroonchoudery</i></a><i>), Mac McMahon, Serena Chao (</i><a href="https://twitter.com/coriils"><i>@coriils</i></a><i>), Kaira Villanueva, Nandana Yadla, Jacob Ludwig, Dimitryus Graziani, and the rest of the AI4A team</i></p>
]]></description>
      <pubDate>Thu, 3 Sep 2020 13:51:38 +0000</pubDate>
      <author>podcast@aiforanyone.org (Serena Chao)</author>
      <link>https://aiforanyone.org/podcast</link>
      <content:encoded><![CDATA[<p>We’ve heard from experts and industry leaders about how computer vision is applied to self-driving cars and the implications of bias in AI. But let's go back to the basics first. For a foundation to artificial intelligence, we take inspiration from our successful Intro to AI workshop with the Mark Cuban Foundation to bring you this bonus episode today.</p><p>Subscribe for episodes every other Thursday! We’ll be back with interviews next time!</p><p><strong>— Links — </strong></p><ul><li><a href="https://www.youtube.com/watch?v=J8isqIBTvYw">Learn AI in 60 Minutes | An introduction to artificial intelligence</a></li><li><a href="https://www.youtube.com/watch?v=kUGeRHzQgJc">AI in Healthcare 101 | How AI is being used in the healthcare industry</a></li><li><a href="https://www.youtube.com/watch?v=W1A2UnzB6g4">Jobs in AI & Data Science | An overview of jobs in artificial intelligence and data science</a></li></ul><p><strong>— A.I. For Anyone, a non-profit dedicated to helping you learn about AI.  —</strong></p><p>Find us on <a href="http://instagram.com/aiforanyone">Instagram</a>, <a href="https://twitter.com/aiforanyone">Twitter</a>, <a href="https://www.facebook.com/aiforanyone">Facebook</a>, <a href="https://www.linkedin.com/company/ai-for-anyone/">LinkedIn</a> and <a href="https://www.youtube.com/c/aiforanyone">YouTube</a> at @aiforanyone</p><p>& check us out at <a href="http://aiforanyone.org/">aiforanyone.org/</a></p><p>& email your friends at podcast@aiforanyone.org</p><p><i>Brought to you by Haroon Choudery (</i><a href="https://twitter.com/haroonchoudery"><i>@haroonchoudery</i></a><i>), Mac McMahon, Serena Chao (</i><a href="https://twitter.com/coriils"><i>@coriils</i></a><i>), Kaira Villanueva, Nandana Yadla, Jacob Ludwig, Dimitryus Graziani, and the rest of the AI4A team</i></p>
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      <itunes:title>Intro to Artificial Intelligence (with A.I. For Anyone)</itunes:title>
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      <itunes:summary>Our quickest introduction to artificial intelligence inspired by our Intro to AI workshop with the Mark Cuban Foundation. </itunes:summary>
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      <title>How to Manage the Powerful Risk of AI (with Liz O’Sullivan)</title>
      <description><![CDATA[<p>What would you do if your company crossed ethical lines? Liz O’Sullivan tells her transformational moment of speaking up for the need for human oversight that has pushed her work to focus on fairness and transparency in AI today and tomorrow. Among a deep discussion of the implications of bias, the importance of transparency, and the responsibility of the individual, they highlight how our pursuits of innovation can and should thrive but only in a way that doesn’t put our planet at risk.  </p><p>Subscribe for episodes every other Thursday!</p><p><strong>— Guest: Liz O’Sullivan — </strong></p><p>Liz O’Sullivan is an AI activist who is the Technology Director at S.T.O.P., an organisation fighting surveillance from a policy perspective, and co-founder and vice president of commercial operations at Arthur AI, an AI model monitoring startup. </p><ul><li><a href="https://twitter.com/lizjosullivan">Twitter</a></li><li><a href="https://www.arthur.ai/">Arthur AI</a></li><li><a href="https://www.stopspying.org/liz-osullivan-bio">S.T.O.P.: Surveillance Technology Oversight Project</a></li></ul><p><strong>— Links — </strong></p><ul><li><a href="https://techinquiry.org/">Tech Inquiry</a>, <a href="https://www.aclu.org/">ACLU</a>, <a href="https://techworkerscoalition.org/">Tech Workers Coalition</a> - a few organisations to help tackle abuses in the tech industry</li><li><a href="https://www.fast.ai/about/#rachel">Start with Rachel Thomas’ articles and talks to understand how cool AI is, and what happens when it messes up. </a></li></ul><p><strong>— A.I. For Anyone, a non-profit dedicated to helping you learn about AI.  —</strong></p><p>Find us on <a href="http://instagram.com/aiforanyone">Instagram</a>, <a href="https://twitter.com/aiforanyone">Twitter</a>, <a href="https://www.facebook.com/aiforanyone">Facebook</a>, <a href="https://www.linkedin.com/company/ai-for-anyone/">LinkedIn</a> and <a href="https://www.youtube.com/c/aiforanyone">YouTube</a> at @aiforanyone</p><p>& check us out at <a href="http://aiforanyone.org/">aiforanyone.org/</a></p><p>& email your friends at podcast@aiforanyone.org</p><p><i>Brought to you by Haroon Choudery (</i><a href="https://twitter.com/haroonchoudery"><i>@haroonchoudery</i></a><i>), Mac McMahon, Serena Chao (</i><a href="https://twitter.com/coriils"><i>@coriils</i></a><i>), Kaira Villanueva, Nandana Yadla, Dimitryus Graziani, and the rest of the AI4A team</i></p>
]]></description>
      <pubDate>Fri, 21 Aug 2020 10:00:27 +0000</pubDate>
      <author>podcast@aiforanyone.org (Kaira Villanueva, Mac McMahon, Liz O&apos;Sullivan, Haroon Choudery)</author>
      <link>https://aiforanyone.org/podcast</link>
      <content:encoded><![CDATA[<p>What would you do if your company crossed ethical lines? Liz O’Sullivan tells her transformational moment of speaking up for the need for human oversight that has pushed her work to focus on fairness and transparency in AI today and tomorrow. Among a deep discussion of the implications of bias, the importance of transparency, and the responsibility of the individual, they highlight how our pursuits of innovation can and should thrive but only in a way that doesn’t put our planet at risk.  </p><p>Subscribe for episodes every other Thursday!</p><p><strong>— Guest: Liz O’Sullivan — </strong></p><p>Liz O’Sullivan is an AI activist who is the Technology Director at S.T.O.P., an organisation fighting surveillance from a policy perspective, and co-founder and vice president of commercial operations at Arthur AI, an AI model monitoring startup. </p><ul><li><a href="https://twitter.com/lizjosullivan">Twitter</a></li><li><a href="https://www.arthur.ai/">Arthur AI</a></li><li><a href="https://www.stopspying.org/liz-osullivan-bio">S.T.O.P.: Surveillance Technology Oversight Project</a></li></ul><p><strong>— Links — </strong></p><ul><li><a href="https://techinquiry.org/">Tech Inquiry</a>, <a href="https://www.aclu.org/">ACLU</a>, <a href="https://techworkerscoalition.org/">Tech Workers Coalition</a> - a few organisations to help tackle abuses in the tech industry</li><li><a href="https://www.fast.ai/about/#rachel">Start with Rachel Thomas’ articles and talks to understand how cool AI is, and what happens when it messes up. </a></li></ul><p><strong>— A.I. For Anyone, a non-profit dedicated to helping you learn about AI.  —</strong></p><p>Find us on <a href="http://instagram.com/aiforanyone">Instagram</a>, <a href="https://twitter.com/aiforanyone">Twitter</a>, <a href="https://www.facebook.com/aiforanyone">Facebook</a>, <a href="https://www.linkedin.com/company/ai-for-anyone/">LinkedIn</a> and <a href="https://www.youtube.com/c/aiforanyone">YouTube</a> at @aiforanyone</p><p>& check us out at <a href="http://aiforanyone.org/">aiforanyone.org/</a></p><p>& email your friends at podcast@aiforanyone.org</p><p><i>Brought to you by Haroon Choudery (</i><a href="https://twitter.com/haroonchoudery"><i>@haroonchoudery</i></a><i>), Mac McMahon, Serena Chao (</i><a href="https://twitter.com/coriils"><i>@coriils</i></a><i>), Kaira Villanueva, Nandana Yadla, Dimitryus Graziani, and the rest of the AI4A team</i></p>
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      <itunes:title>How to Manage the Powerful Risk of AI (with Liz O’Sullivan)</itunes:title>
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      <title>Backing Up to Machine Learning Basics (with Matt Barnes)</title>
      <description><![CDATA[<p>What’s the relationship between robotics and machine learning? Pulling from an impressive set of projects, Matt first helps us understand a few basics in this field including reinforcement learning and computer vision. Matt shares about his PhD project that helped combat human trafficking, sheds some light around the "what ifs" around self-driving cars, and how mechanical engineering led him to machine learning.</p><p>Subscribe for episodes to unravel the potential of AI every other Thursday!</p><p><strong>— Guest: Matt Barnes — </strong></p><p>Matt Barnes is an applied machine learning scientist with a PhD in robotics from Carnegie Mellon University who is now working at Google. </p><ul><li><a href="https://www.linkedin.com/in/mbarnes1/">LinkedIn: Matt Barnes</a></li></ul><p><strong>— Links — </strong></p><ul><li><a href="https://www.cnbc.com/2020/07/20/ai-for-anyone-founders-teaching-ai-to-students-for-free-to-give-back.html">CNBC article featuring the founders of A.I. for Anyone</a></li><li><a href="https://aiforanyone.org/blog/all/blog/ai-teaches-itself-go-in-24-hours-defeats-world-champion">AI Teaches Itself Go in 24 Hours, Defeats World Champion</a></li><li><a href="https://www.youtube.com/watch?v=J8isqIBTvYw&autoplay=1&mute=0">Learn AI in 60 Minutes</a></li></ul><p><strong>— A.I. For Anyone, a non-profit dedicated to helping you learn about AI.  —</strong></p><p>Find us on <a href="http://instagram.com/aiforanyone">Instagram</a>, <a href="https://twitter.com/aiforanyone">Twitter</a>, <a href="https://www.facebook.com/aiforanyone">Facebook</a>, <a href="https://www.linkedin.com/company/ai-for-anyone/">LinkedIn</a> and <a href="https://www.youtube.com/c/aiforanyone">YouTube</a> at @aiforanyone</p><p>& check us out at <a href="http://aiforanyone.org/">aiforanyone.org/</a></p><p>& email your friends at <a href="mailto:podcast@aiforanyone.org">podcast@aiforanyone.org</a></p><p><i>Brought to you by Haroon Choudery, Mac McMahon, Serena Chao, Kaira Villanueva, Nandana Yadla, Dimitryus Graziani, and the wider AI4A team</i></p>
]]></description>
      <pubDate>Thu, 30 Jul 2020 10:00:09 +0000</pubDate>
      <author>podcast@aiforanyone.org (Kaira Villanueva, Mac McMahon, Matt Barnes, Haroon Choudery)</author>
      <link>https://aiforanyone.org/podcast</link>
      <content:encoded><![CDATA[<p>What’s the relationship between robotics and machine learning? Pulling from an impressive set of projects, Matt first helps us understand a few basics in this field including reinforcement learning and computer vision. Matt shares about his PhD project that helped combat human trafficking, sheds some light around the "what ifs" around self-driving cars, and how mechanical engineering led him to machine learning.</p><p>Subscribe for episodes to unravel the potential of AI every other Thursday!</p><p><strong>— Guest: Matt Barnes — </strong></p><p>Matt Barnes is an applied machine learning scientist with a PhD in robotics from Carnegie Mellon University who is now working at Google. </p><ul><li><a href="https://www.linkedin.com/in/mbarnes1/">LinkedIn: Matt Barnes</a></li></ul><p><strong>— Links — </strong></p><ul><li><a href="https://www.cnbc.com/2020/07/20/ai-for-anyone-founders-teaching-ai-to-students-for-free-to-give-back.html">CNBC article featuring the founders of A.I. for Anyone</a></li><li><a href="https://aiforanyone.org/blog/all/blog/ai-teaches-itself-go-in-24-hours-defeats-world-champion">AI Teaches Itself Go in 24 Hours, Defeats World Champion</a></li><li><a href="https://www.youtube.com/watch?v=J8isqIBTvYw&autoplay=1&mute=0">Learn AI in 60 Minutes</a></li></ul><p><strong>— A.I. For Anyone, a non-profit dedicated to helping you learn about AI.  —</strong></p><p>Find us on <a href="http://instagram.com/aiforanyone">Instagram</a>, <a href="https://twitter.com/aiforanyone">Twitter</a>, <a href="https://www.facebook.com/aiforanyone">Facebook</a>, <a href="https://www.linkedin.com/company/ai-for-anyone/">LinkedIn</a> and <a href="https://www.youtube.com/c/aiforanyone">YouTube</a> at @aiforanyone</p><p>& check us out at <a href="http://aiforanyone.org/">aiforanyone.org/</a></p><p>& email your friends at <a href="mailto:podcast@aiforanyone.org">podcast@aiforanyone.org</a></p><p><i>Brought to you by Haroon Choudery, Mac McMahon, Serena Chao, Kaira Villanueva, Nandana Yadla, Dimitryus Graziani, and the wider AI4A team</i></p>
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      <itunes:title>Backing Up to Machine Learning Basics (with Matt Barnes)</itunes:title>
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      <itunes:summary>Repeating humans isn&apos;t exactly artificial intelligence. So what is? Tune in to hear how reinforcement learning and computer vision are applied to projects from self-driving cars to tackling human trafficking.
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      <title>Becoming Limitless with AI and Mentorship (with Sidney Madison Prescott)</title>
      <description><![CDATA[<p>“To achieve true diversity within the technology sector, we need to fundamentally change what it means to be a technologist.” Sidney Madison Prescott grounds us to better understand who we’re missing in our current picture, the importance of mentors who can help you position your value, and how firms should approach implementing cognitive automation. </p><p>Subscribe for episodes to unravel the potential of AI every other Thursday!</p><p><strong>— Guest: Sidney Madison Prescott — </strong></p><p>Sidney Madison Prescott is a Global Intelligent Automation Leader (RPA, ML, AI) at Spotify who is based in New York City. </p><ul><li><a href="https://www.linkedin.com/in/sidneymadisonprescott/">LinkedIn: Sidney Madison Prescott</a></li><li><a href="https://twitter.com/sidneyinthecity">Twitter: @sidneyinthecity</a></li></ul><p><strong>— Links — </strong></p><ul><li><a href="https://www.chief.com/">Revel in the mantra behind Chief, a private network focused on connecting and supporting women leaders </a></li><li><a href="https://medium.com/authority-magazine/how-sidney-madison-prescott-of-spotify-tackles-the-extreme-work-life-balance-of-being-a-woman-in-b544f5833234">How Sidney stays inspired and finds work-life balance throughout the pandemic </a></li></ul><p><strong>— A.I. For Anyone, a non-profit dedicated to helping you learn about AI.  —</strong></p><p>Find us on <a href="http://instagram.com/aiforanyone">Instagram</a>, <a href="https://twitter.com/aiforanyone">Twitter</a>, <a href="https://www.facebook.com/aiforanyone">Facebook</a>, <a href="https://www.linkedin.com/company/ai-for-anyone/">LinkedIn</a> and <a href="https://www.youtube.com/c/aiforanyone">YouTube</a> at @aiforanyone</p><p>& check us out at <a href="http://aiforanyone.org/">aiforanyone.org/</a></p><p>& email your friends at <a href="mailto:podcast@aiforanyone.org" target="_blank">podcast@aiforanyone.org</a></p><p><i>Brought to you by Haroon Choudery, Mac McMahon, Serena Chao, Kaira Villanueva, Nandana Yadla, Dimitryus Graziani, and the wider AI4A team</i></p>
]]></description>
      <pubDate>Wed, 22 Jul 2020 10:00:12 +0000</pubDate>
      <author>podcast@aiforanyone.org (Sidney Madison Prescott, Mac McMahon, Haroon Choudery, Serena Chao)</author>
      <link>https://aiforanyone.org/podcast</link>
      <content:encoded><![CDATA[<p>“To achieve true diversity within the technology sector, we need to fundamentally change what it means to be a technologist.” Sidney Madison Prescott grounds us to better understand who we’re missing in our current picture, the importance of mentors who can help you position your value, and how firms should approach implementing cognitive automation. </p><p>Subscribe for episodes to unravel the potential of AI every other Thursday!</p><p><strong>— Guest: Sidney Madison Prescott — </strong></p><p>Sidney Madison Prescott is a Global Intelligent Automation Leader (RPA, ML, AI) at Spotify who is based in New York City. </p><ul><li><a href="https://www.linkedin.com/in/sidneymadisonprescott/">LinkedIn: Sidney Madison Prescott</a></li><li><a href="https://twitter.com/sidneyinthecity">Twitter: @sidneyinthecity</a></li></ul><p><strong>— Links — </strong></p><ul><li><a href="https://www.chief.com/">Revel in the mantra behind Chief, a private network focused on connecting and supporting women leaders </a></li><li><a href="https://medium.com/authority-magazine/how-sidney-madison-prescott-of-spotify-tackles-the-extreme-work-life-balance-of-being-a-woman-in-b544f5833234">How Sidney stays inspired and finds work-life balance throughout the pandemic </a></li></ul><p><strong>— A.I. For Anyone, a non-profit dedicated to helping you learn about AI.  —</strong></p><p>Find us on <a href="http://instagram.com/aiforanyone">Instagram</a>, <a href="https://twitter.com/aiforanyone">Twitter</a>, <a href="https://www.facebook.com/aiforanyone">Facebook</a>, <a href="https://www.linkedin.com/company/ai-for-anyone/">LinkedIn</a> and <a href="https://www.youtube.com/c/aiforanyone">YouTube</a> at @aiforanyone</p><p>& check us out at <a href="http://aiforanyone.org/">aiforanyone.org/</a></p><p>& email your friends at <a href="mailto:podcast@aiforanyone.org" target="_blank">podcast@aiforanyone.org</a></p><p><i>Brought to you by Haroon Choudery, Mac McMahon, Serena Chao, Kaira Villanueva, Nandana Yadla, Dimitryus Graziani, and the wider AI4A team</i></p>
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      <itunes:title>Becoming Limitless with AI and Mentorship (with Sidney Madison Prescott)</itunes:title>
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      <title>Out of Sight, AI in Mind (with Hod Lipson)</title>
      <description><![CDATA[<p>The ultimate engineering challenge - to build a machine that can build something else, that is what Professor Hod Lipson is after.  He describes roboticists as reincarnations of ancient alchemists who are working to breathe life into matter, exploring self-awareness, and participating in a quest to understand what it means to be human. </p><p>AI For You is now on your favourite podcast app including Apple Podcasts, Spotify, Google Podcasts, and more! Subscribe for episodes to continue sailing West on every other Thursday! </p><p><strong>— Guest: Hod Lipson — </strong></p><p><a href="http://www.hodlipson.com/">Hod Lipson</a> is a Columbia University professor, author and entrepreneur who works in the areas of robotics and artificial intelligence.</p><ul><li><a href="https://www.creativemachineslab.com/">Creative Machines Lab</a></li><li><a href="https://www.ted.com/talks/hod_lipson_building_self_aware_robots?language=en">TED Talk: Building self-aware robots</a></li><li>Award winning book “<a href="http://www.amazon.com/Fabricated-The-New-World-Printing/dp/1118350634"><i>Fabricated</i></a>” on 3D Printing, and “<a href="https://www.amazon.com/Driverless-Intelligent-Cars-Ahead-Press/dp/0262035227"><i>Driverless</i></a>” on Autonomous cars</li></ul><p><strong>— Links — </strong></p><ul><li><a href="https://www.roboticsbusinessreview.com/research/the-essential-interview-hod-lipson-on-robot-creativity/">Merging the world of creativity and imagination with robotics and AI</a></li><li><a href="https://www.quantamagazine.org/hod-lipson-is-building-self-aware-robots-20190711/">Curious About Consciousness? Ask the Self-Aware Machines</a></li><li><a href="http://doyoutrustthiscomputer.org/">Do You Trust This Computer?</a></li><li><a href="https://horizon-magazine.eu/article/why-robots-are-being-trained-self-awareness.html">Why robots are being trained in self-awareness</a></li></ul><p><strong>— A.I. For Anyone, a non-profit dedicated to helping you learn about AI.  —</strong></p><p>Find us on <a href="http://instagram.com/aiforanyone">Instagram</a>, <a href="https://twitter.com/aiforanyone">Twitter</a>, <a href="https://www.facebook.com/aiforanyone">Facebook</a>, <a href="https://www.linkedin.com/company/ai-for-anyone/">LinkedIn</a> and <a href="https://www.youtube.com/c/aiforanyone">YouTube</a> at @aiforanyone</p><p>& check us out at <a href="http://aiforanyone.org/">aiforanyone.org/</a></p><p>& email your friends at podcast@aiforanyone.org</p><p><i>Brought to you by Haroon Choudery, Mac McMahon, Serena Chao, Kaira Villanueva, Nandana Yadla, Dimitryus Graziani, and the rest of the AI4A team</i></p>
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      <pubDate>Thu, 2 Jul 2020 10:30:09 +0000</pubDate>
      <author>podcast@aiforanyone.org (Mac McMahon, Haroon Choudery, Hod Lipson)</author>
      <link>https://aiforanyone.org/podcast</link>
      <content:encoded><![CDATA[<p>The ultimate engineering challenge - to build a machine that can build something else, that is what Professor Hod Lipson is after.  He describes roboticists as reincarnations of ancient alchemists who are working to breathe life into matter, exploring self-awareness, and participating in a quest to understand what it means to be human. </p><p>AI For You is now on your favourite podcast app including Apple Podcasts, Spotify, Google Podcasts, and more! Subscribe for episodes to continue sailing West on every other Thursday! </p><p><strong>— Guest: Hod Lipson — </strong></p><p><a href="http://www.hodlipson.com/">Hod Lipson</a> is a Columbia University professor, author and entrepreneur who works in the areas of robotics and artificial intelligence.</p><ul><li><a href="https://www.creativemachineslab.com/">Creative Machines Lab</a></li><li><a href="https://www.ted.com/talks/hod_lipson_building_self_aware_robots?language=en">TED Talk: Building self-aware robots</a></li><li>Award winning book “<a href="http://www.amazon.com/Fabricated-The-New-World-Printing/dp/1118350634"><i>Fabricated</i></a>” on 3D Printing, and “<a href="https://www.amazon.com/Driverless-Intelligent-Cars-Ahead-Press/dp/0262035227"><i>Driverless</i></a>” on Autonomous cars</li></ul><p><strong>— Links — </strong></p><ul><li><a href="https://www.roboticsbusinessreview.com/research/the-essential-interview-hod-lipson-on-robot-creativity/">Merging the world of creativity and imagination with robotics and AI</a></li><li><a href="https://www.quantamagazine.org/hod-lipson-is-building-self-aware-robots-20190711/">Curious About Consciousness? Ask the Self-Aware Machines</a></li><li><a href="http://doyoutrustthiscomputer.org/">Do You Trust This Computer?</a></li><li><a href="https://horizon-magazine.eu/article/why-robots-are-being-trained-self-awareness.html">Why robots are being trained in self-awareness</a></li></ul><p><strong>— A.I. For Anyone, a non-profit dedicated to helping you learn about AI.  —</strong></p><p>Find us on <a href="http://instagram.com/aiforanyone">Instagram</a>, <a href="https://twitter.com/aiforanyone">Twitter</a>, <a href="https://www.facebook.com/aiforanyone">Facebook</a>, <a href="https://www.linkedin.com/company/ai-for-anyone/">LinkedIn</a> and <a href="https://www.youtube.com/c/aiforanyone">YouTube</a> at @aiforanyone</p><p>& check us out at <a href="http://aiforanyone.org/">aiforanyone.org/</a></p><p>& email your friends at podcast@aiforanyone.org</p><p><i>Brought to you by Haroon Choudery, Mac McMahon, Serena Chao, Kaira Villanueva, Nandana Yadla, Dimitryus Graziani, and the rest of the AI4A team</i></p>
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      <itunes:title>Out of Sight, AI in Mind (with Hod Lipson)</itunes:title>
      <itunes:author>Mac McMahon, Haroon Choudery, Hod Lipson</itunes:author>
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      <itunes:duration>00:55:09</itunes:duration>
      <itunes:summary>Our first episode sails West to explore robotics, digital manufacturing, and how AI is out of sight but should definitely not be out of mind.</itunes:summary>
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      <title>Introducing: AI For You</title>
      <description><![CDATA[<p>Welcome to AI For You, a podcast hosted by <a href="https://aiforanyone.org/">A.I. for Anyone</a>, a non-profit dedicated to helping you learn about AI.</p><p>2020 has been a big year for us from online webinars to launching this podcast! We’re always looking for ways to share the latest and greatest from the world of AI in a way that’s easy to understand and follow. Tune in as we explore the boundless reach of AI, how society is adapting - and resisting, and what your role could be in an increasingly automated world.</p><p>Subscribe for episodes on every other Thursday starting July 2!</p><p><strong>— A.I. For Anyone —</strong><br />Find us on <a href="http://instagram.com/aiforanyone" target="_blank">Instagram</a>, <a href="https://twitter.com/aiforanyone" target="_blank">Twitter</a>, <a href="https://www.facebook.com/aiforanyone" target="_blank">Facebook</a>, <a href="https://www.linkedin.com/company/ai-for-anyone/" target="_blank">LinkedIn</a> and <a href="https://www.youtube.com/c/aiforanyone" target="_blank">YouTube</a> at @aiforanyone<br />& check us out at <a href="http://aiforanyone.org/" target="_blank">aiforanyone.org/</a><br />& email your friends at <a href="mailto:podcast@aiforanyone.org" target="_blank">podcast@aiforanyone.org</a></p><p><i>Brought to you by: Haroon Choudery, Mac McMahon, Serena Chao, Kaira Villanueva, Nandana Yadla, Dimitryus Graziani, and the rest of the AI4A team</i></p>
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      <pubDate>Thu, 18 Jun 2020 21:54:09 +0000</pubDate>
      <author>podcast@aiforanyone.org (Mac McMahon, Haroon Choudery)</author>
      <link>https://aiforanyone.org/podcast</link>
      <content:encoded><![CDATA[<p>Welcome to AI For You, a podcast hosted by <a href="https://aiforanyone.org/">A.I. for Anyone</a>, a non-profit dedicated to helping you learn about AI.</p><p>2020 has been a big year for us from online webinars to launching this podcast! We’re always looking for ways to share the latest and greatest from the world of AI in a way that’s easy to understand and follow. Tune in as we explore the boundless reach of AI, how society is adapting - and resisting, and what your role could be in an increasingly automated world.</p><p>Subscribe for episodes on every other Thursday starting July 2!</p><p><strong>— A.I. For Anyone —</strong><br />Find us on <a href="http://instagram.com/aiforanyone" target="_blank">Instagram</a>, <a href="https://twitter.com/aiforanyone" target="_blank">Twitter</a>, <a href="https://www.facebook.com/aiforanyone" target="_blank">Facebook</a>, <a href="https://www.linkedin.com/company/ai-for-anyone/" target="_blank">LinkedIn</a> and <a href="https://www.youtube.com/c/aiforanyone" target="_blank">YouTube</a> at @aiforanyone<br />& check us out at <a href="http://aiforanyone.org/" target="_blank">aiforanyone.org/</a><br />& email your friends at <a href="mailto:podcast@aiforanyone.org" target="_blank">podcast@aiforanyone.org</a></p><p><i>Brought to you by: Haroon Choudery, Mac McMahon, Serena Chao, Kaira Villanueva, Nandana Yadla, Dimitryus Graziani, and the rest of the AI4A team</i></p>
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      <itunes:title>Introducing: AI For You</itunes:title>
      <itunes:author>Mac McMahon, Haroon Choudery</itunes:author>
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