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<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
<channel>
<title>AI and Humanity</title>
<link>https://aihumanityclass.github.io/</link>
<description>Recent content on AI and Humanity</description>
<generator>Hugo</generator>
<language>en-us</language>
<lastBuildDate>Tue, 24 Mar 2026 00:00:00 +0000</lastBuildDate>
<atom:link href="https://aihumanityclass.github.io/index.xml" rel="self" type="application/rss+xml" />
<item>
<title>Class 18</title>
<link>https://aihumanityclass.github.io/class-18/</link>
<pubDate>Tue, 24 Mar 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/class-18/</guid>
<description><p><a href="https://www.dropbox.com/scl/fi/h37zgazfsn9q81vbyxie2/cs4501ha-s26-class18.pdf?rlkey=nrjjq0wmb1dp9s1e46fwx1j8u&amp;st=qikwn3xv&amp;dl=0"><strong>Class 18 Slides</strong> (PDF)</a></p></description>
</item>
<item>
<title>Class 17</title>
<link>https://aihumanityclass.github.io/class-17/</link>
<pubDate>Thu, 19 Mar 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/class-17/</guid>
<description><p><a href="https://www.dropbox.com/scl/fi/widoyn6lalsj8wq0r17pv/cs4501ha-s26-class17.pdf?rlkey=vkzen2akyuka09meizenkrq9h&amp;dl=0"><strong>Class 17 Slides</strong> (PDF)</a></p>
<p>The paper I talked about on &ldquo;quantum cash&rdquo; is Stephen Wiesner, <a href="https://aihumanityclass.github.io/docs/quantum1983.pdf"><em>Conjugate Coding</em></a>, ACM SIGACT News, January 1983. [<a href="https://aihumanityclass.github.io/docs/quantum1983.pdf">PDF</a>]</p></description>
</item>
<item>
<title>Class 16</title>
<link>https://aihumanityclass.github.io/class-16/</link>
<pubDate>Tue, 17 Mar 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/class-16/</guid>
<description><p><a href="https://www.dropbox.com/scl/fi/wyx63tv5xlcieobtb3ko9/cs4501ha-s26-class16.pdf?rlkey=vpkdhfjswva5xzlhxxw09udb4&amp;dl=0"><strong>Class 16 Slides</strong> (PDF)</a></p>
<p>You can read Paul Ehrlich&rsquo;s &ldquo;The Population Bomb&rdquo; on-line here: <a href="https://archive.org/details/populationbom00ehrl">https://archive.org/details/populationbom00ehrl</a> (you may need to register for a free Internet Archive account to read more than a few pages). Just make sure you have a barf bag nearby before you start reading it.</p>
<p>The New York Times glorification is here: <a href="https://www.nytimes.com/2026/03/15/books/paul-r-ehrlich-dead.html"><em>Paul R. Ehrlich, Who Alarmed the World With ‘The Population Bomb,’ Dies at 93 — His best-selling 1968 book, which forecast global famines, made him a leader of the environmental movement. But he faced criticism when his predictions proved premature</em></a>.</p></description>
</item>
<item>
<title>Class 15</title>
<link>https://aihumanityclass.github.io/class-15/</link>
<pubDate>Thu, 12 Mar 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/class-15/</guid>
<description><p><a href="https://www.dropbox.com/scl/fi/4vtdr2cbwczcrq6q0kx4x/cs4501ha-s26-class15.pdf?rlkey=ozo7kmi4kah51ke5wgsobnrnq&amp;dl=0"><strong>Class 15 Slides</strong> (PDF)</a></p>
<p>The Veritasium video I mentioned is: <a href="https://www.youtube.com/watch?v=nmgFG7PUHfo"><em>The Most Important Algorithm Of All Time</em></a>.</p></description>
</item>
<item>
<title>Class 14</title>
<link>https://aihumanityclass.github.io/class-14/</link>
<pubDate>Tue, 10 Mar 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/class-14/</guid>
<description><p>These are the slides from today&rsquo;s class. The slides include all the submitted comments on the mid-course surveys, with additional comments at the end that I didn&rsquo;t present in class: <a href="https://www.dropbox.com/scl/fi/3zkwu4m18w0qo068sc1w7/cs4501ha-s26-class14.pdf?rlkey=by6ymy041bdulyeztjsew9udt&amp;dl=0"><strong>Class 14 Slides</strong> (PDF)</a></p>
<p>The talk by Patrick Henry Winston on <em>How to Speak</em> is here:
<a href="https://www.youtube.com/watch?v=Unzc731iCUY">https://www.youtube.com/watch?v=Unzc731iCUY</a></p>
<blockquote>
<p>(Highly recommended to everyone to watch this! You don&rsquo;t need to wait until you get feedback from me telling you to watch it to watch it.)</p></description>
</item>
<item>
<title>Class 12</title>
<link>https://aihumanityclass.github.io/class-12/</link>
<pubDate>Tue, 24 Feb 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/class-12/</guid>
<description><p><a href="https://www.dropbox.com/scl/fi/zltc7pc88wgkrdp52i09y/cs4501ha-s26-class12.pdf?rlkey=0pktqwh6pqugeom5i10nnlgw8&amp;dl=0">Class 12 Slides (PDF)</a></p>
<p>The <a href="https://aihumanityclass.github.io/blogs/class11">Blog for Class 11</a> is now posted.</p></description>
</item>
<item>
<title>Class 11</title>
<link>https://aihumanityclass.github.io/class-11/</link>
<pubDate>Thu, 19 Feb 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/class-11/</guid>
<description><p><a href="https://www.dropbox.com/scl/fi/c5b5lxalv47j9ldu59yu8/cs4501ha-s26-class11.pdf?rlkey=2rp4q011yqwbqvs7tndjzzihj&amp;dl=0">Class 11 Slides (PDF)</a></p>
<p>The <a href="https://aihumanityclass.github.io/blogs/class10">Blog for Class 10</a> is now posted.</p></description>
</item>
<item>
<title>Class 6</title>
<link>https://aihumanityclass.github.io/class-6/</link>
<pubDate>Tue, 03 Feb 2026 14:25:00 -0500</pubDate>
<guid>https://aihumanityclass.github.io/class-6/</guid>
<description><h2 id="slides">Slides</h2>
<p><a href="https://www.dropbox.com/scl/fi/5qzak37g9cki7dmu737d4/cs4501ha-s26-class5.pdf?rlkey=wh513hxaezi3yrjjm67r4i20q&amp;dl=0">Class 6 Slides (PDF)</a></p>
<h2 id="schedule">Schedule</h2>
<p><strong>Due Tomorrow</strong> (Wednesday 4 February, 11:59pm): <a href="https://canvas.its.virginia.edu/courses/161890/assignments/855320">Project Idea</a> (Assignment in Canvas)</p></description>
</item>
<item>
<title>Updates and Tables for March 16-20</title>
<link>https://aihumanityclass.github.io/weekof16mar/</link>
<pubDate>Mon, 16 Mar 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/weekof16mar/</guid>
<description><h2 id="schedule-reminders">Schedule Reminders</h2>
<ul>
<li>
<p>Remember that your project update is due today, <strong>Monday 16 March</strong>, by <strong>8:59pm</strong>: <a href="https://canvas.its.virginia.edu/courses/161890/assignments/868296">Project Update Canvas Link</a></p>
</li>
<li>
<p>For teams assigned to <strong>News</strong> (1) or <strong>Lead</strong> (6–7) this week, please remember to follow the revised guidelines and schedule (see <a href="https://aihumanityclass.github.io/tablemap-10mar/">March 10 post</a>).</p>
</li>
<li>
<p>I will be away this Friday (20 March) and next Friday (27 March), and not able to hold my usual office hours those days. Please use <a href="https://davidevans.youcanbookme.com/">https://davidevans.youcanbookme.com/</a> to schedule an alternate time to meet with me.</p></description>
</item>
<item>
<title>Updates and Tables for March 10-12</title>
<link>https://aihumanityclass.github.io/tablemap-10mar/</link>
<pubDate>Mon, 09 Mar 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/tablemap-10mar/</guid>
<description><h2 id="tables-for-this-week">Tables for This Week</h2>
<p>Here&rsquo;s the Table Teams map for this week (March 10 and March 12 classes):</p>
<center>
<img src="https://aihumanityclass.github.io/images/tablemap-mar10.png" width="80%">
</center>
<p>The blogging teams (Team 8 on March 10 and Team 9 on March 12) will swap places for the two classes, but otherwise the plan is the same for Tuesday and Thursday. The team that is blogging the class will have the (now stable!) center table.</p>
<h2 id="mid-course-updates">Mid-Course Updates</h2>
<p>I will talk more about the course updates based on the mid-course survey at the beginning of Tuesday&rsquo;s class, but summarize the changes below:</p></description>
</item>
<item>
<title>Tables for Feb 17-19</title>
<link>https://aihumanityclass.github.io/tablemap-17feb/</link>
<pubDate>Tue, 17 Feb 2026 07:25:00 -0500</pubDate>
<guid>https://aihumanityclass.github.io/tablemap-17feb/</guid>
<description><p>Here&rsquo;s the Table Teams map for this week (Feb 17 and Feb 19 classes):</p>
<center>
<img src="https://aihumanityclass.github.io/images/tablemap-feb17.png" width="80%">
</center></description>
</item>
<item>
<title>Tables for Feb 3-5</title>
<link>https://aihumanityclass.github.io/tablemap-3feb/</link>
<pubDate>Tue, 03 Feb 2026 08:25:00 -0500</pubDate>
<guid>https://aihumanityclass.github.io/tablemap-3feb/</guid>
<description><p>Here&rsquo;s the Table Teams map for this week (Feb 3 and Feb 5 classes):</p>
<center>
<img src="https://aihumanityclass.github.io/images/tablemap-feb3.png" width="80%">
</center></description>
</item>
<item>
<title>Class 15: Can We Survive Technology?</title>
<link>https://aihumanityclass.github.io/blogs/class15/</link>
<pubDate>Sun, 22 Mar 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/blogs/class15/</guid>
<description><p><strong>Blogging Team 9</strong>: Shriya Ramaka, Amita Pavuloori, Eva Butler, Ted Nyberg, Christine Cheung</p>
<p><strong><a href="#main-topic-can-we-survive-technology">Lead Topic: <em>Can We Survive Technology?</em></a></strong></p>
<h1 id="news-openais-agreement-with-the-department-of-war">News: OpenAI’s Agreement with the Department of War</h1>
<p><strong>Presented by Team 12:</strong> <a href="https://docs.google.com/presentation/d/1nzdaQtsRdzacYMSFc25-yS10B3-aOmAq5jZc9Vpa8iU/edit?slide=id.p#slide=id.p">Slides</a></p>
<ul>
<li>
<p><em>Tensions between the Pentagon and AI giant Anthropic reach boiling point</em>. Jared Perlo and Gordon Lubold. NBC News, 20 February, 2026. Link:<a href="https://www.nbcnews.com/tech/security/anthropic-ai-defense-war-venezuela-maduro-rcna259603">NBCNews</a></p>
</li>
<li>
<p><em>OpenAI reaches AI agreement with Defence Dept. after Anthropic clash</em>. Cade Metz. New York Times, 27 February, 2026. Link<a href="https://www.nytimes.com/2026/02/27/technology/openai-agreement-pentagon-ai.html">NYTimes</a></p></description>
</item>
<item>
<title>From FARS to Vibe Research</title>
<link>https://aihumanityclass.github.io/blogs/class13-airesearch/</link>
<pubDate>Thu, 19 Mar 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/blogs/class13-airesearch/</guid>
<description><p><strong>Blogging Team 11</strong>: Rimon Ghebremeskel, Tapi Goredema, Yi Ping, Elijah Smith, Samrawit Yemane</p>
<h1 id="from-fars-to-vibe-research">From FARS to Vibe Research</h1>
<ul>
<li><a href="TODO">ARTICLE SOURCE</a></li>
</ul>
<p>At the beginning of 2026, a Chinese company called Analemma finished its first experiment on the Fully Automated Research System, FARS.</p>
<p>FARS is an AI system that can run the whole research loop by itself, including reading papers, finding ideas, writing code, running experiments, and writing papers. FARS ran about 417 hours, costing $186,000, and wrote 166 papers.</p></description>
</item>
<item>
<title>Readings for Week 10: Creativity</title>
<link>https://aihumanityclass.github.io/readings-for-week-10-creativity/</link>
<pubDate>Tue, 17 Mar 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/readings-for-week-10-creativity/</guid>
<description><h3 id="readingslistenings-for-tuesday-24-march-and-thursdsay-26-march">Readings/Listenings for Tuesday, 24 March and Thursdsay, 26 March</h3>
<ul>
<li>
<p>Listen to this segment: <a href="https://radiolab.org/podcast/91515-musical-dna/"><em>Musical DNA</em></a> (RadioLab, 19 August 2010). (If you really want to read instead, there is <a href="https://radiolab.org/podcast/91515-musical-dna/transcript">a transcript</a>, but you will miss a lot that is in the podcast.)</p>
</li>
<li>
<p>David Cope, <a href="https://aihumanityclass.github.io/docs/cope1999.pdf"><em>Facing the Music: Perspectives on Machine-Composed Music</em></a>. Leonardo Music Journal, 1999. (Unless you are double majoring in music, you are not expected to read Appendix A.)</p>
</li>
<li>
<p>Ted Chiang, <a href="https://aihumanityclass.github.io/docs/chiang-art.pdf"><em>Why A.I. Isn&rsquo;t Going To Make Art</em></a>, The New Yorker, 31 August 2024. [<a href="https://aihumanityclass.github.io/docs/chiang-art.pdf">PDF</a>] [<a href="https://www.newyorker.com/culture/the-weekend-essay/why-ai-isnt-going-to-make-art">Web Link</a>]</p></description>
</item>
<item>
<title>Readings for Week 9</title>
<link>https://aihumanityclass.github.io/readings-for-week-9/</link>
<pubDate>Tue, 10 Mar 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/readings-for-week-9/</guid>
<description><h3 id="readings-for-tuesday-17-march">Readings for Tuesday, 17 March</h3>
<ul>
<li>Maxim Massenkoff and Peter McCrory. <a href="https://www.anthropic.com/research/labor-market-impacts"><em>Labor market impacts of AI:
A new measure and early evidence</em></a>. Anthropic, 2026. [<a href="https://www.anthropic.com/research/labor-market-impacts">Web</a>] [<a href="https://cdn.sanity.io/files/4zrzovbb/website/2b5bbaf2c1eb81dbf6e6fb813c1a24e35a64d376.pdf">PDF</a>]</li>
</ul>
<p>And at least one of these two:</p>
<ul>
<li>
<p>Bertrand Russell. <a href="https://aihumanityclass.github.io/docs/idleness1932.pdf"><em>In Praise of Idleness</em></a>. Harper&rsquo;s Magazine, 1932. [<a href="https://aihumanityclass.github.io/docs/idleness1932.pdf">PDF</a>] [<a href="https://harpers.org/archive/1932/10/in-praise-of-idleness/">Web</a>]</p>
</li>
<li>
<p>John Maynard Keynes. <a href="https://aihumanityclass.github.io/docs/keynes1930.pdf"><em>Economic Possibilities for Our Grandchildren</em></a>. 1930.</p>
</li>
</ul>
<p>Optional additional reading:</p>
<ul>
<li>Jörg Bibow. <a href="https://aihumanityclass.github.io/docs/bibow2024.pdf"><em>Economic Possibilities for Our Grandchildren—90 Years Later</em></a>. Levy Economics Institute, Working Paper, January 2024. [<a href="https://www.levyinstitute.org/publications/economic-possibilities-for-our-grandchildren90-years-later/">Web</a>] [<a href="https://aihumanityclass.github.io/docs/bibow2024.pdf">PDF</a>]</li>
</ul>
<h3 id="materials-for-thursday-19-march">Materials for Thursday, 19 March</h3>
<ul>
<li>Nathan Heller. <a href="https://aihumanityclass.github.io/docs/heller-ubi-2018.pdf"><em>Who Really Stands to Win from Universal Basic Income?</em></a>. The New Yorker. 2018. [<a href="https://aihumanityclass.github.io/docs/heller-ubi-2018.pdf">PDF</a>] [<a href="https://www.newyorker.com/magazine/2018/07/09/who-really-stands-to-win-from-universal-basic-income">Web</a>]</li>
</ul>
<p>Pick at least one of the following:</p></description>
</item>
<item>
<title>Readings for Week 8</title>
<link>https://aihumanityclass.github.io/readings-for-week-8/</link>
<pubDate>Fri, 27 Feb 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/readings-for-week-8/</guid>
<description><h3 id="updates">Updates</h3>
<ul>
<li>
<p>Please remember to submit your <a href="https://canvas.its.virginia.edu/courses/161890/assignments/862716">Mid-Course Survey</a> by <strong>midnight tonight</strong> (Friday 27 February).</p>
</li>
<li>
<p>Blog posts for <a href="https://aihumanityclass.github.io/blogs/class10">Class 10</a> and <a href="https://aihumanityclass.github.io/blogs/class11">Class 11</a> on AI-driven software development, and <a href="https://aihumanityclass.github.io/blogs/class12">Class 12</a> (Adolescence of Technology) are now posted.</p>
</li>
</ul>
<h3 id="readings-for-tuesday-10-march">Readings for Tuesday, 10 March</h3>
<ul>
<li>
<p>Nic Fleming, <a href="https://www.nature.com/articles/d41586-025-03357-1"><em>Why we should limit the autonomy of AI-enabled weapons</em></a>. Nature, 29 October 2025. [<a href="https://aihumanityclass.github.io/docs/fleming2025.pdf">PDF</a>]</p>
</li>
<li>
<p>National Security Commission on Artificial Intelligence, Final Report, <a href="https://reports.nscai.gov/final-report/chapter-4">Chapter 4: <em>Autonomous Weapon Systems and Risks Associated with AI-Enabled Warfare</em></a>, 2021. [<a href="https://aihumanityclass.github.io/docs/nscai-ch4.pdf">PDF of Chapter 4</a>] (The full report, which is over 700 pages is available here: <a href="https://reports.nscai.gov/final-report/">https://reports.nscai.gov/final-report/</a>.)</p></description>
</item>
<item>
<title>Class 13: Adolescence of Technology, Part 2</title>
<link>https://aihumanityclass.github.io/blogs/class13/</link>
<pubDate>Thu, 26 Feb 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/blogs/class13/</guid>
<description><p><strong>Blogging Team [7]</strong>: <em>Seth Lifland, Aryan Thodupunuri, David Hu, Pallavi Mamillapalli, Grace Kitt</em></p>
<h2 id="news-discussion-ai-safety-competition-and-the-anthropic-debate">News Discussion: AI Safety, Competition, and the Anthropic Debate</h2>
<p>Professor Evans began by presenting recent news about <a href="https://www.anthropic.com/">Anthropic</a>. Anthropic has generated lots of headlines recently, with a mix of negative and positive articles.</p>
<p>We began by discussing some of the more negative articles covering recent changes to Anthropic&rsquo;s safety policy including <a href="https://www.cnn.com/2026/02/25/tech/anthropic-safety-policy-change">announcing that they will remove their flagship safety commitment</a> to pause development if their models reach a certain level of risk. Anthropic announced this recently due to their belief that other companies will not responsibly pause, and so Anthropic pausing would only end up hurting the world.</p></description>
</item>
<item>
<title>Class 12: Adolescence of Technology, Part 1</title>
<link>https://aihumanityclass.github.io/blogs/class12/</link>
<pubDate>Tue, 24 Feb 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/blogs/class12/</guid>
<description><p><strong>Blogging Team [6]</strong>: Zach Bernas, Clare O’Dwyer, Michelle Hu, Suhanee Singh, Mina Tunley</p>
<hr>
<h2 id="before-class-announcement"><strong>Before Class Announcement</strong></h2>
<p>The <em>Virginia AI Security Initiative</em> Technical Research Team is looking for students interested in solving AI safety problems through research and projects.</p>
<p>Complete the <a href="http://qrto.org/Mq0dvl">general interest form</a>!</p>
<hr>
<h2 id="news-ohio-house-bill-524---lawmakers-stand-against-ai"><strong>News: Ohio House Bill 524 - Lawmakers Stand Against AI</strong></h2>
<p><strong>Presented by Team 10:</strong> Ruizhang Chen, Hannah Cohen, Pranav Goteti, Nurdin Hossain, and Hemanth Saravanan</p>
<p><a href="https://docs.google.com/presentation/d/1xC4PKlqmJhZvFBMgz82HvUPdrkXskr6EoMJ7cLoNowQ/edit?usp=drivesdk"><em>Link to Slides</em></a></p></description>
</item>
<item>
<title>Class 11: Software Development using AI</title>
<link>https://aihumanityclass.github.io/blogs/class11/</link>
<pubDate>Sun, 22 Feb 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/blogs/class11/</guid>
<description><p><strong>Blogging Team [5]</strong>: Carolyn Chen, Yuezhang Chen, Stella Hession, Iman Mohamed, Salonee Verma</p>
<h2 id="news-ai-and-love"><strong>News: AI and… Love?</strong></h2>
<p><strong>Presented by Team 9</strong>: <a href="https://docs.google.com/presentation/d/1TUlGu7fM0B0kgm4LLHdQLnx1knUGQNJKW8xgi_xaZqA/edit?usp=sharing">Slides</a></p>
<p><strong>Article:</strong> Eli Tan. <a href="https://www.nytimes.com/2025/11/03/technology/ai-dating-apps.html"><em>You Don’t Need to Swipe Right. A.I. Is Transforming Dating Apps</em></a>. New York Times, 3 November 2025.</p>
<p>In today’s news section, Table 9 presented an <strong>AI dating platform</strong> that claims to use artificial intelligence to match singles based on values, lifestyles and political views.</p>
<p>Table 9 started by discussing the concept of a “romantic recession”, which some people argue we might be undergoing at the moment—Americans are marrying less and marrying at later ages, which leads to an older population with fewer children and grandchildren.</p></description>
</item>
<item>
<title>Readings for Week 7</title>
<link>https://aihumanityclass.github.io/readings-for-week-7/</link>
<pubDate>Wed, 18 Feb 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/readings-for-week-7/</guid>
<description><h3 id="updates">Updates</h3>
<ul>
<li>Blog posts for <a href="https://aihumanityclass.github.io/blogs/class8">Class 8 (Interpretability)</a> and <a href="https://aihumanityclass.github.io/blogs/class9">Class 9 (Extractability)</a> are now posted.</li>
</ul>
<h3 id="reading-for-tuesday-24-february-and-thursday-26-feburary">Reading for Tuesday, 24 February and Thursday, 26 Feburary</h3>
<ul>
<li>Dari Amodei. <a href="https://www.darioamodei.com/essay/the-adolescence-of-technology"><em>The Adolescence of Technology
Confronting and Overcoming the Risks of Powerful AI</em></a>. January 2026.</li>
</ul>
<p>This essay is intended as a follow-up to Amodei&rsquo;s <em>Machines of Loving Grace</em> essay we discussed in <a href="https://aihumanityclass.github.io/blogs/class3/">Class 3</a>. It is the only required reading for next week. It is quite long and covers a lot of ideas, so we will split it over the two classes next week.</p></description>
</item>
<item>
<title>Class 10: AI & Software Development</title>
<link>https://aihumanityclass.github.io/blogs/class10/</link>
<pubDate>Tue, 17 Feb 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/blogs/class10/</guid>
<description><p><strong>Blogging Team [4]</strong>: Aaryan Asthana, Jason Chin, Sarah Petchel, Taylor Petrofski, Katherine Anne Rukavina</p>
<h2 id="news-the-filipino-workers-at-the-sharp-end-of-ai">News: The Filipino Workers at the Sharp End of AI</h2>
<p><strong>Presented by Team 8</strong>: <a href="https://myuva-my.sharepoint.com/:p:/g/personal/ysx7nx_virginia_edu/IQBny3KwaXbrTrw2aOMtKqg8Adot8WQGXez-xnxs2HsFFxo?e=CLeC74">Slides</a></p>
<h3 id="articles-discussed">Articles Discussed</h3>
<ol>
<li>
<p>Simon, T. (2025, April 24). <a href="https://www.equaltimes.org/the-filipino-workers-at-the-sharp"><em>The Filipino workers at the sharp end of artificial intelligence</em></a>). Equal Times.</p>
</li>
<li>
<p>Vyas, I. (2025, May 27). <a href="https://citrusbug.com/blog/it-outsourcing-statistics-2025/"><em>IT Outsourcing Statistics in 2025: Top Countries &amp; Their Market Share.</em></a> CitrusBug Technolabs Blog.</p>
</li>
</ol>
<h3 id="discussion-outsourcing-intelligence-the-human-cost-of-ai-development">Discussion: Outsourcing Intelligence: The Human Cost of AI Development</h3>
<p>Team 8 began class with a discussion of the often invisible human labor that powers AI systems. The news presentation focused on an Equal Times article that reports on data labelers in the Philippines. These workers are performing repetitive tasks to train AI models, such as identifying objects in images, much like the reCAPTCHA systems many of us often encounter.</p></description>
</item>
<item>
<title>Class 9: Extractability</title>
<link>https://aihumanityclass.github.io/blogs/class9/</link>
<pubDate>Tue, 17 Feb 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/blogs/class9/</guid>
<description><p><strong>Blogging Team [3]</strong>: Kate McCray, Lara Mahajan, Shreeja Tangutur, Mandy Le, Lily Egenrieder</p>
<p><a href="#lead-topic-scalable-extraction-of-training-data-from-aligned-production-language-models"><strong>Lead Topic</strong>: Extractability</a></p>
<h2 id="news-retiring-gpt-4o--what-happens-when-an-ai-disappears">News: Retiring GPT-4o — What Happens When an AI Disappears?</h2>
<p><strong>Presented by Team 7</strong>: <a href="https://docs.google.com/presentation/d/1dw4NEN4B3h_jPwkH4i6W5ySxh7HxsAc7_4ruk3nlhrs/edit">Slides</a></p>
<h3 id="articles-discussed">Articles Discussed</h3>
<ol>
<li>
<p>Hill, K. (2025, November 6). <a href="https://www.nytimes.com/2025/11/06/technology/chatgpt-lawsuit-suicides-delusions.html"><em>Lawsuits blame ChatGPT for suicides and harmful delusions</em></a>. The New York Times.</p>
</li>
<li>
<p>Metz, C. (2026, February 2). <a href="https://www.nytimes.com/2026/02/02/technology/moltbook-ai-social-media.html"><em>A social network for A.I. bots only. No humans allowed</em></a>. The New York Times.</p>
</li>
<li>
<p>Schechner, S. (2026, February 10). <a href="https://www.wsj.com/tech/ai/chatgpt-4o-openai-315138b8"><em>Inside OpenAI’s decision to kill the AI model that people loved too much</em></a>. The Wall Street Journal.</p></description>
</item>
<item>
<title>Class 8: Interpretability</title>
<link>https://aihumanityclass.github.io/blogs/class8/</link>
<pubDate>Mon, 16 Feb 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/blogs/class8/</guid>
<description><p><strong>Blogging Team 2</strong>: Amelia Chen, Laxmi Ghanate, Ryan Russo, Shaurya Singh, Matthew Vu</p>
<h1 id="news-ai-super-bowl-ads">News: AI Super Bowl Ads</h1>
<p><a href="https://docs.google.com/presentation/d/1WXhtrGHppLSOi9YMIZsfHN_u1dNFpsJMddmC1Y3zVwA/edit?slide=id.g3c6c41f5f1b_0_21#slide=id.g3c6c41f5f1b_0_21">Slides from Team 6</a></p>
<p>Team 6&rsquo;s news presentation highlighted AI Ads in the Super Bowl. Many of the ads in the Super Bowl involved AI, including ads from major AI companies (OpenAI, Anthropic, Google, Amazon/Ring, Meta), completely AI-generated ads from Svedka Vodka and Artlist, an AI toolkit for artists and creators.</p>
<p>The ads reflected different company perspectives and cultures: Anthropic (Claude) conveys their guarantee of safety regulations and responsible scaling; Google displays its commitment to the White House risk-based approach to AI; Meta introduced their AI-supported Meta Glasses in disregard for the EU’s AI safety code of practice; Svedka claimed robots as a reminder to be pro-human; OpenAI&rsquo;s ad emphasized technological progress and focused on Codex.</p></description>
</item>
<item>
<title>Readings for Week 6</title>
<link>https://aihumanityclass.github.io/readings-for-week-6/</link>
<pubDate>Tue, 10 Feb 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/readings-for-week-6/</guid>
<description><h3 id="updates">Updates</h3>
<ul>
<li>
<p><a href="https://www.dropbox.com/scl/fi/sli5j21cidqetd6qddawa/cs4501ha-s26-class8.pdf?rlkey=jrx5joo2yg8el0hibgk0nr928&amp;dl=0"><strong>Class 8 Slides</strong></a></p>
</li>
<li>
<p>CS Distinguished Speaker: Matthew Jagielski, Anthropic. <a href="https://engineering.virginia.edu/news-events/events/cs-distinguished-speaker-matthew-jagielski-anthropic"><em>ML Security Research in the Era of Agentic Systems</em></a>, Friday, 13 February, 11:00am-noon, Rice 540.</p>
</li>
<li>
<p><strong>Project Mini-Proposals</strong> are due <strong>Monday, 16 February</strong> (11:59pm). See the <a href="https://canvas.its.virginia.edu/courses/161890/assignments/857679">assignment in Canvas</a>. The <a href="https://canvas.its.virginia.edu/courses/161890/assignments/857679">Overleaf Template</a> provides a template for what is expected in your proposal: [<a href="https://aihumanityclass.github.io/docs/cs4501_s26_MiniProposalTemplate.pdf">PDF Link</a>].</p>
</li>
</ul>
<h3 id="reading-for-thursday-12-february-repeated-from-readings-for-week-4">Reading for Thursday, 12 February (repeated from <a href="https://aihumanityclass.github.io/readings-for-week-5/">Readings for Week 4</a>):</h3>
<ul>
<li>Milad Nasr, Javier Rando, Nicholas Carlini, Jonathan Hayase, Matthew Jagielski, A. Feder Cooper, Daphne Ippolito, Christopher A. Choquette-Choo, Florian Tramèr, and Katherine Lee. <em>Scalable extraction of training data from aligned, production language models</em>. In International Conference on Learning Representations (ICLR) 2025.
<a href="https://openreview.net/pdf?id=vjel3nWP2a">ICLR Web Link</a>. (You can also see the review discussion: <a href="https://openreview.net/forum?id=vjel3nWP2a">ICLR Forum</a>)</li>
</ul>
<p>One of the authors of this paper, <a href="https://jagielski.github.io/">Matthew Jagielski</a> (now at Anthropic), will visit UVA on Friday, 13 February and give a Distinguished Talk at 11:00am Friday, 13 February, in Rice 540.</p></description>
</item>
<item>
<title>Class 7: AI Bias and Interpretability</title>
<link>https://aihumanityclass.github.io/blogs/class7/</link>
<pubDate>Sat, 07 Feb 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/blogs/class7/</guid>
<description><p><strong>Blogging Team 1</strong>: Tristan Grubbs, Srikar Bangaru, Sarah Francis, Amanda Appiah-Yeboah, Matthew Janicki</p>
<h1 id="news-nvidia-and-openai-deal">News: NVIDIA and OpenAI Deal</h1>
<p><strong>Presented by Team 5: <a href="https://docs.google.com/presentation/d/1iUzFexFYTxOdhoC3TIZbh1jgBCxOLOZ77IoRRidUr0g/edit?slide=id.g378a603d89a_0_520#slide=id.g378a603d89a_0_520">Slides</a></strong></p>
<h2 id="articles">Articles</h2>
<ul>
<li>
<p>Down, A., &amp; Milmo, D. (2026, February 5). <a href="https://www.theguardian.com/technology/2026/feb/05/disapperance-100bn-deal-ai-circular-economy-funding-nvidia-openai"><em>What does the disappearance of a $100bn deal mean for the AI economy?</em></a>. The Guardian.</p>
</li>
<li>
<p>Aubrey, K. (2026, January 5). <a href="https://developer.nvidia.com/blog/inside-the-nvidia-rubin-platform-six-new-chips-one-ai-supercomputer/"><em>Inside the Nvidia Rubin platform: Six new chips, one AI supercomputer</em></a>. NVIDIA Technical Blog.</p>
</li>
</ul>
<h2 id="discussion">Discussion</h2>
<p>Team 5 started class by talking about how the original deal between NVIDIA and OpenAI had broken down. The current deal stands closer to 20 billion being invested into OpenAI, a far cry from the original 100 billion. Separately, NVIDIA has been hedging its bets elsewhere with a 10 billion dollar deal with OpenAI competitor Anthropic. This is part of a larger trend in the world of AI, where companies in the space are making large investments in each other to fund the capital-intensive industry. This circular investing has clouded the current investment picture, making it seem like there is more money in the industry than there actually is.</p></description>
</item>
<item>
<title>Readings for Week 5</title>
<link>https://aihumanityclass.github.io/readings-for-week-5/</link>
<pubDate>Thu, 05 Feb 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/readings-for-week-5/</guid>
<description><h3 id="updates">Updates</h3>
<ul>
<li>The blogs for <a href="https://aihumanityclass.github.io/blogs/class5">Class 5</a> and <a href="https://aihumanityclass.github.io/blogs/class6">Class 6</a> are now posted.</li>
<li>Every project team should have received feedback on your Project Idea. The next main deliverable for the project is your Project Mini-Proposal, which is due <strong>Monday, 16 February</strong>. (This will be discussed in class on Tuesday.)</li>
</ul>
<h3 id="reading-for-tuesday-10-february-repeated-from-readings-for-week-4">Reading for Tuesday, 10 February (repeated from <a href="https://aihumanityclass.github.io/readings-for-week-4/">Readings for Week 4</a>)</h3>
<ul>
<li>Cynthia Rudin. <em>Stop explaining black box machine learning
models for high stakes decisions and use
interpretable models instead</em>. Nature Machine Intelligence, May 2019. [<a href="https://aihumanityclass.github.io/docs/rudin2019.pdf">PDF Link</a>] [<a href="https://arxiv.org/abs/1811.10154">arXiv version</a>] (less nicely formatted, but with fixed equations)</li>
</ul>
<h3 id="reading-for-thursday-12-february">Reading for Thursday, 12 February:</h3>
<ul>
<li>Milad Nasr, Javier Rando, Nicholas Carlini, Jonathan Hayase, Matthew Jagielski, A. Feder Cooper, Daphne Ippolito, Christopher A. Choquette-Choo, Florian Tramèr, and Katherine Lee. <em>Scalable extraction of training data from aligned, production language models</em>. In International Conference on Learning Representations (ICLR) 2025.
<a href="https://openreview.net/pdf?id=vjel3nWP2a">ICLR Web Link</a>. (You can also see the review discussion: <a href="https://openreview.net/forum?id=vjel3nWP2a">ICLR Forum</a>)</li>
</ul>
<p>One of the authors of this paper, <a href="https://jagielski.github.io/">Matthew Jagielski</a> (now at Anthropic), will visit UVA on Friday, 13 February and give a Distinguished Talk at 11:00am Friday, 13 February, in Rice 540.</p></description>
</item>
<item>
<title>Class 6: Clinical Use of AI in Medicine</title>
<link>https://aihumanityclass.github.io/blogs/class6/</link>
<pubDate>Tue, 03 Feb 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/blogs/class6/</guid>
<description><p><strong>Blogging Team 12</strong>: Spencer Cook, Qiaojing Huang, Sonika Modur, Witt Smith, Kayla Sprincis</p>
<p><a href="#lead-clinical-use-of-ai-in-medicine"><strong>Lead Topic: Clinical Use of AI in Medicine</strong></a></p>
<h1 id="news-openclaw">News: OpenClaw</h1>
<p><strong>Presented by Team 4: <a href="https://aihumanityclass.github.io/docs/class6_news.pdf">Slides</a></strong></p>
<h2 id="articles">Articles</h2>
<ul>
<li>
<p>Cade Metz (2026, February 2). <em>A Social Network for A.I. Bots Only. No Humans Allowed.</em> <em>The New York Times</em>. <a href="https://www.nytimes.com/2026/02/02/technology/moltbook-ai-social-media.html">https://www.nytimes.com/2026/02/02/technology/moltbook-ai-social-media.html</a></p>
</li>
<li>
<p>Güney Yıldız. <em>Moltbook AI Social Network: 1.4 Million Agents Build A Digital Society</em>. Forbes. Retrieved February 3, 2026, from <a href="https://www.forbes.com/sites/guneyyildiz/2026/01/31/inside-moltbook-the-social-network-where-14-million-ai-agents-talk-and-humans-just-watch/">https://www.forbes.com/sites/guneyyildiz/2026/01/31/inside-moltbook-the-social-network-where-14-million-ai-agents-talk-and-humans-just-watch/</a></p>
</li>
<li>
<p>Dave Lozo. <em>The risky AI assistant clawing its way to viral fame</em>. Morning Brew. Retrieved February 3, 2026, from <a href="https://www.morningbrew.com/stories/2026/01/29/the-risky-ai-assistant-clawing-its-way-to-viral-fame">https://www.morningbrew.com/stories/2026/01/29/the-risky-ai-assistant-clawing-its-way-to-viral-fame</a></p></description>
</item>
<item>
<title>Class 5: Genomics in the Digital Age</title>
<link>https://aihumanityclass.github.io/blogs/class5/</link>
<pubDate>Thu, 29 Jan 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/blogs/class5/</guid>
<description><p><strong>Blogging Team 11</strong>: Rimon Ghebremeskel, Tapi Goredema, Yi Ping, Elijah Smith, Samrawit Yemane</p>
<h2 id="news-our-dna-is-at-risk-of-hacking-warns-scientists">News: Our DNA is at risk of hacking, warns scientists</h2>
<p><strong><a href="https://aihumanityclass.github.io/docs/Genomics-slides.pdf">Slides from Team 3</a></strong> (Lily Egenrieder, Mandy Le, Lara Mahajan, Kate McCray, Shreeja Tangutur)</p>
<p>Team 3 led a discussion about the growing involvement of AI in medicine, biology, and Genomics. They highlighted the benefits and risks of AI in these fields, one risk being vulnerability to the cybersecurity of Next Generation Sequencing (NGS) methods, which are more computer-based than their Sanger counterpart.</p></description>
</item>
<item>
<title>Readings for Week 4</title>
<link>https://aihumanityclass.github.io/readings-for-week-4/</link>
<pubDate>Thu, 29 Jan 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/readings-for-week-4/</guid>
<description><h2 id="clinical-use-of-ai-in-medicine">Clinical use of AI in Medicine</h2>
<p>Reading for Tuesday, 3 February (repeated from <a href="https://aihumanityclass.github.io/readings-for-week-3/">Previous Post</a>, but with date updated due to snow day):</p>
<ul>
<li>Ethan Goh, Robert J. Gallo, Eric Strong, Yingjie Weng, Hannah Kerman, Jason A. Freed, Joséphine A. Cool, Zahir Kanjee, Kathleen P. Lane, Andrew S. Parsons, Neera Ahuja, Eric Horvitz, Daniel Yang, Arnold Milstein, Andrew P. J. Olson, Jason Hom, Jonathan H. Chen and Adam Rodman.
<em>GPT-4 assistance for improvement of physician performance on patient care tasks: a randomized controlled trial</em>. Nature Medicine, February 2025. [<a href="https://aihumanityclass.github.io/docs/goh2025.pdf">PDF Link</a>] [<a href="https://www.nature.com/articles/s41591-024-03456-y">Web Link</a>]</li>
</ul>
<h2 id="ai-bias-and-interpretability">AI Bias and Interpretability</h2>
<p>Our next main topic, which will be for the Thursday, 5 February and Tuesday, 10 February, is on biases in AI systems and how to measure and mitigate them. There is already a vast literature on this topic, and entire courses and research agendas focused on it, so we will only see a small slice of it in these two class (and may have more classes later that go in more depth or touch on other aspects).</p></description>
</item>
<item>
<title>Blog for Class 4 Posted</title>
<link>https://aihumanityclass.github.io/blog-for-class-4-posted/</link>
<pubDate>Wed, 28 Jan 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/blog-for-class-4-posted/</guid>
<description><p>The blog for Class 4 is now posted: <a href="https://aihumanityclass.github.io/blogs/class4">Class 4 Blog: Data Centers / <em>AI 2027</em> and <em>AI as Normal Technology</em></a>. Thanks to Team 10 for writing the blog post, and to Team 2 for presenting the News and Team 6 for leading the topic.</p></description>
</item>
<item>
<title>Tables for Jan 29</title>
<link>https://aihumanityclass.github.io/tablemap-29jan/</link>
<pubDate>Wed, 28 Jan 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/tablemap-29jan/</guid>
<description><p>Here&rsquo;s the Table Teams map for Jan 29:</p>
<center>
<img src="https://aihumanityclass.github.io/images/tablemap-jan29.png" width="80%">
</center>
<p>Instead of sitting in your &ldquo;Table Teams&rdquo;, the teams that are not presenting or blogging today will sit in your discussion groups so you have a chance to meet the people in your on-line discussion in person.</p></description>
</item>
<item>
<title>Class 5</title>
<link>https://aihumanityclass.github.io/class-5/</link>
<pubDate>Tue, 27 Jan 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/class-5/</guid>
<description><h2 id="slides">Slides</h2>
<p><a href="https://www.dropbox.com/scl/fi/5qzak37g9cki7dmu737d4/cs4501ha-s26-class5.pdf?rlkey=wh513hxaezi3yrjjm67r4i20q&amp;dl=0">Class 5 Slides (PDF)</a></p>
<h2 id="schedule">Schedule</h2>
<p><strong>Due Wednesday 4 February, 11:59pm</strong>: Project Idea (see slides for details)</p></description>
</item>
<item>
<title>Blog for Class 3 Posted</title>
<link>https://aihumanityclass.github.io/blog-for-class-3-posted/</link>
<pubDate>Sun, 25 Jan 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/blog-for-class-3-posted/</guid>
<description><p>The blog for Class 3 is now posted: <a href="https://aihumanityclass.github.io/blogs/class3">Class 3 Blog: China / <em>Machines of Loving Grace</em></a>. Thanks to Team 9 for writing the blog post, and to Team 1 for presenting the News and Team 5 for leading the topic.</p></description>
</item>
<item>
<title>Class 4</title>
<link>https://aihumanityclass.github.io/class-4/</link>
<pubDate>Thu, 22 Jan 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/class-4/</guid>
<description><h2 id="slides">Slides</h2>
<p><a href="https://www.dropbox.com/scl/fi/vcq2qpxuzyjmah26uzryw/cs4501ha-s26-class4.pdf?rlkey=v571s5vyowsd0ifykr8gu1qyv&amp;dl=0">Class 4 Slides (PDF)</a></p>
<h2 id="schedule">Schedule</h2>
<p><strong>Due Sunday, 11:59pm</strong>: <a href="https://canvas.its.virginia.edu/courses/161890/quizzes/162435">Project Team Form</a> (assigned in Canvas) to submit your ideal project teammates and topic idea. Everyone should submit this — if you have not formed a team or identified a topic yet that is fine, but you should still submit the form, and we will use these to assemble project teams.</p>
<p>Check the <a href="https://aihumanityclass.github.io/schedule">Team Schedule</a> to be sure you know your Table Team&rsquo;s upcoming responbilities, and <a href="https://aihumanityclass.github.io/readings-for-week-3">Readings for Next Week</a>. In the likely event of a snow day next week, we&rsquo;ll adjust the schedule, but for now assume we&rsquo;ll have class normally on Tuesday.</p></description>
</item>
<item>
<title>Class 4: AI 2027 and AI as Normal Technology</title>
<link>https://aihumanityclass.github.io/blogs/class4/</link>
<pubDate>Thu, 22 Jan 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/blogs/class4/</guid>
<description><p><strong>Blogging Team 10</strong>: Nurdin Hossain, Ruizhang Chen, Hemanth Saravanan, Pranav Goteti, Hannah Cohen</p>
<h1 id="summary">Summary</h1>
<p><a href="#news-data-center-resistance"><strong>News: Data Center Resistance</strong></a><br>
<strong>Topic: <a href="#ai-2027">AI2027</a> and <a href="#ai-as-normal-technology">AI as Normal Technology</a></strong></p>
<p>During our fourth class, we had riveting discussions on how AI will affect our future.</p>
<p>Table 2 began with a discussion of data center resistance, sharing recent developments in the Virginia government regarding data center reforms. Comments from the class focused on the presence of data centers in wealthier areas as well as the potential benefits and drawbacks of data centers.</p></description>
</item>
<item>
<title>Readings for Week 3</title>
<link>https://aihumanityclass.github.io/readings-for-week-3/</link>
<pubDate>Wed, 21 Jan 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/readings-for-week-3/</guid>
<description><p>Instructions for the Class Blogs are <a href="https://aihumanityclass.github.io/blogs">here</a>. Blogging teams should submit a PR with the class blog no later than 5 days after the class (with an expectation that it will be posted on the course site within one week of the class). News and Lead teams should share any materials with the Blog team right after the class.</p>
<p>Readings for Tuesday, 27 January:</p>
<ul>
<li>
<p>John Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ronneberger, Kathryn Tunyasuvunakool, Russ Bates, Augustin Žídek, Anna Potapenko, Alex Bridgland, Clemens Meyer, Simon A. A. Kohl, Andrew J. Ballard, Andrew Cowie, Bernardino Romera-Paredes, Stanislav Nikolov, Rishub Jain, Jonas Adler, Trevor Back, Stig Petersen, David Reiman, Ellen Clancy, Michal Zielinski, Martin Steinegger, Michalina Pacholska, Tamas Berghammer, Sebastian Bodenstein, David Silver, Oriol Vinyals, Andrew W. Senior, Koray Kavukcuoglu, Pushmeet Kohli, and Demis Hassabis. <em>Highly accurate protein structure prediction with AlphaFold</em>. Nature, 26 August 2021.<br>
[<a href="https://aihumanityclass.github.io/docs/alphafold2-jumper2021.pdf">PDF Link</a>]<br>
Optional: There is an &ldquo;AlphaFold 3&rdquo; now, described in <a href="https://aihumanityclass.github.io/docs/alphafold3.pdf">this paper</a>, but you are not expected to read this one.</p></description>
</item>
<item>
<title>Class 3</title>
<link>https://aihumanityclass.github.io/class-3/</link>
<pubDate>Tue, 20 Jan 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/class-3/</guid>
<description><h2 id="slides">Slides</h2>
<p><a href="https://www.dropbox.com/scl/fi/jskxd9z8yt1yun95988or/cs4501ha-s26-class3.pdf?rlkey=5wuilljg2430kgb0oq9qt3ihh&amp;dl=0">Class 3 Slides (PDF)</a></p>
<h2 id="schedule">Schedule</h2>
<p>Check the <a href="https://aihumanityclass.github.io/schedule">Team Schedule</a> to be sure you know your Table Team&rsquo;s upcoming responbilities, and <a href="https://aihumanityclass.github.io/readings2">Readings for Thursday</a>.</p>
<p>Please don&rsquo;t wait for any further prodding to dicuss the Thursday readings. You should be able to create discussion posts in your discussion group, and go ahead and do this with your thoughts on the paper you read. Feel free to also continue the discussion from anything that come up in today&rsquo;s class in your on-line discussion group.</p></description>
</item>
<item>
<title>Class 3: Machines of Loving Grace</title>
<link>https://aihumanityclass.github.io/blogs/class3/</link>
<pubDate>Tue, 20 Jan 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/blogs/class3/</guid>
<description><p><strong>Blogging Team 9</strong>: Shriya Ramaka, Amita Pavuloori, Eva Butler, Ted Nyberg, Christine Cheung</p>
<p><a href="#main-topic-machines-of-loving-grace"><strong>Lead Topic: <em>Machines of Loving Grace</em></strong></a>. Source: <a href="https://www.darioamodei.com/essay/machines-of-loving-grace">Dario Amodei</a></p>
<h1 id="news-chinese-drills-around-taiwan">News: Chinese Drills Around Taiwan</h1>
<p><strong>Presented by Team 1: <a href="https://aihumanityclass.github.io/docs/class3-news-slides.pdf">Slides PDF</a></strong></p>
<ul>
<li>
<p><em>China Drills in South China Sea</em>. Chris Buckley and Amy Chang Chien. New York Times, 29 December 2025. Link: <a href="https://www.nytimes.com/2025/12/29/world/asia/china-taiwan-military-exercises.html">NYTimes</a></p>
</li>
<li>
<p><em>Taiwan Reaches Trade Deal With Trump and Pledges More U.S. Chip Factories</em>. Meaghan Tobin, Amy Chang Chien and Xinyun Wu. New York Times, 15 January 2026. Link: <a href="https://www.nytimes.com/2026/01/15/business/taiwan-trade-deal.html">NYTimes</a></p></description>
</item>
<item>
<title>Tables for Week 2</title>
<link>https://aihumanityclass.github.io/tablemap-20jan/</link>
<pubDate>Mon, 19 Jan 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/tablemap-20jan/</guid>
<description><p>Here&rsquo;s the Table Teams map for this week (both 20 Jan and 22 Jan classes):</p>
<center>
<img src="https://aihumanityclass.github.io/images/tablemap-jan20.png" width="80%">
</center></description>
</item>
<item>
<title>Class 2</title>
<link>https://aihumanityclass.github.io/class2/</link>
<pubDate>Thu, 15 Jan 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/class2/</guid>
<description><h2 id="slides">Slides</h2>
<p><a href="https://www.dropbox.com/scl/fi/72ww9ymfjjnsg7sid5ega/cs4501ha-s26-class2.pdf?rlkey=jzp5xor5sp86a9igfmjopgr82&amp;dl=0">Class 2 Slides (PDF)</a></p>
<h2 id="schedule">Schedule</h2>
<p>You should be in one of the on-line discussion groups now, and should have received (or will soon receive) a message from your TA to start discussion there.</p>
<p>Check the <a href="https://aihumanityclass.github.io/schedule">Team Schedule</a> to be sure you know your Table Team&rsquo;s upcoming responbilities, and <a href="https://aihumanityclass.github.io/readings2">Readings for Week 2</a>.</p>
<h2 id="links">Links</h2>
<p>I&rsquo;ve talked about several of the themes from today in other places. You can see videos from a 2014 cs4414: Operating Systems course here: <a href="https://rust-class.org/class-23-invent-the-future.html"><em>Invent the Future!</em></a> (that talk was in 2014 and I make some predictions targeting the 15-year future in 2029, so we&rsquo;re getting pretty close to see how badly I did&hellip;) A more recent version is: <a href="https://youtu.be/n1oVRhRatmE?si=o4ZxT5_W3sT4nCcy"><em>Jobs for Humans, 2030-2045</em></a> from TEDxChantilly.</p></description>
</item>
<item>
<title>Readings for Week 2</title>
<link>https://aihumanityclass.github.io/readings2/</link>
<pubDate>Wed, 14 Jan 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/readings2/</guid>
<description><p>Reading for Tuesday, 20 January:</p>
<ul>
<li>Dario Amodei (CEO and co-founder of Anthropic), <a href="https://www.darioamodei.com/essay/machines-of-loving-grace#basic-assumptions-and-framework"><em>Machines of Loving Grace: How AI Could Transform the World for the Better</em></a>. October 2024
[<a href="https://aihumanityclass.github.io/docs/amodei2024.pdf">PDF Link</a>]</li>
</ul>
<p>Readings for Thursday, 22 January:</p>
<p>Lead team should read both of the papers below and plan to talk about both of them. Other students can select <em>one</em> of the <em>two</em> papers to read (and are, of course, welcome to read both of them, but only expected to read and be able to discuss one of the two papers).</p></description>
</item>
<item>
<title>Tables for 15 Jan</title>
<link>https://aihumanityclass.github.io/tablemap-15jan/</link>
<pubDate>Wed, 14 Jan 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/tablemap-15jan/</guid>
<description><p>Here&rsquo;s the Table Teams map for the next class:</p>
<center>
<img src="https://aihumanityclass.github.io/images/tablemap-15jan.png" width="80%">
</center></description>
</item>
<item>
<title>Class 1</title>
<link>https://aihumanityclass.github.io/class1/</link>
<pubDate>Tue, 13 Jan 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/class1/</guid>
<description><h2 id="slides">Slides</h2>
<p><a href="https://www.dropbox.com/scl/fi/cp6x3fb77pts56vtopuyx/cs4501ha-s26-class1.pdf?rlkey=iw2gh83l93v71usu57t8us14g&amp;dl=0">Class 1 Slides (PDF)</a></p>
<h2 id="schedule">Schedule</h2>
<p>By <strong>8:29 PM</strong> tonight (<strong>13 January 2026</strong>) everyone who wants to be in the class should submit the <strong>Starting the Course Survey</strong> in Canvas: [<a href="https://canvas.its.virginia.edu/courses/161890/quizzes/161089">Canvas Link</a>].</p>
<p>We will make team assignments for your table teams and on-line discussion groups based on the survey submissions, and aim to have these ready by tomorrow.</p>
<p>Readings for Thursday, 15 January:</p>
<ul>
<li>
<p>Neil deGrasse Tyson, <a href="https://aihumanityclass.github.io/docs/tyson-endless-golden-age.pdf"><em>Science&rsquo;s Endless Golden Age</em></a>. Published in <a href="https://archive.org/details/invisiblefutures01denn"><em>The Invisible Future: the seamless integration of technology into everday life</em></a>, edited by Peter J. Denning, November 2001. [<a href="https://aihumanityclass.github.io/docs/tyson-endless-golden-age.pdf">PDF Link</a>]</p></description>
</item>
<item>
<title>Schedule</title>
<link>https://aihumanityclass.github.io/schedule/</link>
<pubDate>Tue, 13 Jan 2026 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/schedule/</guid>
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<h1 id="upcoming-schedule">Upcoming Schedule</h1>
<p><a href="#past-schedule">See below for past classes.</a></p></description>
</item>
<item>
<title>Preliminary Syllabus Posted</title>
<link>https://aihumanityclass.github.io/preliminarysyllabus/</link>
<pubDate>Mon, 03 Nov 2025 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/preliminarysyllabus/</guid>
<description><p>A <a href="https://aihumanityclass.github.io/syllabus">preliminary syllabus</a> is now available. This should give you a good idea what to expect in the class, but some aspects may change and more details will be added before the semester begins.</p></description>
</item>
<item>
<title>Syllabus</title>
<link>https://aihumanityclass.github.io/syllabus/</link>
<pubDate>Sat, 01 Nov 2025 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/syllabus/</guid>
<description><h2 id="preliminary-syllabus">Preliminary Syllabus</h2>
<p>This course is in development. The partial preliminary syllabus here is provided to give you an idea of what to expect in the class, but is likely to change before the semester starts.</p>
<h1 id="overview">Overview</h1>
<p>This course explores impacts of AI on humanity, with a focus on understanding and mitigating unintended harms from AI and intended abuses of AI systems. Expected topics include fairness, privacy, copyright infringement, robustness, safety, economic disruption, and cultural diminishment.</p></description>
</item>
<item>
<title>Welcome</title>
<link>https://aihumanityclass.github.io/welcome/</link>
<pubDate>Sat, 01 Nov 2025 00:00:00 +0000</pubDate>
<guid>https://aihumanityclass.github.io/welcome/</guid>
<description><p>This is a preliminary website for the cs4501: AI and Humanity course to be offered in Spring 2026.</p>
<p>More information will be posted soon, but feel free to contact me (<a href="mailto:evans@virginia.edu">evans@virginia.edu</a>) with any questions about the course.</p>
<p><strong>Meetings:</strong> Tuesdays and Thursdays, 9:30-10:45am in Olsson 018.</p>
<p><strong>Official Prerequisite:</strong> Completed CS 2100 (DSA1) with a grade of C- or better. (I will make exceptions to this if you have an interest in taking the class and have sufficient background in computing.)</p></description>
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