<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Columbia | TZstats Convergence Lab | Tian Zheng, Columbia Stats</title><link>https://sites.stat.columbia.edu/tzheng/tags/columbia/</link><atom:link href="https://sites.stat.columbia.edu/tzheng/tags/columbia/index.xml" rel="self" type="application/rss+xml"/><description>Columbia</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 26 Nov 2025 00:00:00 +0000</lastBuildDate><image><url>https://sites.stat.columbia.edu/tzheng/media/icon_hu_244c03810a53b12e.png</url><title>Columbia</title><link>https://sites.stat.columbia.edu/tzheng/tags/columbia/</link></image><item><title>Launch: AI for Social Good and Society University Seminar</title><link>https://sites.stat.columbia.edu/tzheng/post/2025-11-26-ai4sgs-university-seminar-launch/</link><pubDate>Wed, 26 Nov 2025 00:00:00 +0000</pubDate><guid>https://sites.stat.columbia.edu/tzheng/post/2025-11-26-ai4sgs-university-seminar-launch/</guid><description>&lt;p&gt;The &lt;a href="https://sig.columbia.edu/content/artificial-intelligence-social-good-and-society-initiative-0" target="_blank" rel="noopener"&gt;AI for Social Good and Society (AI4SGS) Initiative&lt;/a&gt; is launching a new Columbia &lt;a href="https://universityseminars.columbia.edu/seminar/artificial-intelligence-for-social-good-and-society/" target="_blank" rel="noopener"&gt;University Seminar&lt;/a&gt; focused on how AI can be developed, implemented, and governed to advance equity, accountability, and the public good.&lt;/p&gt;
&lt;p&gt;Co-led by &lt;strong&gt;Tian Zheng&lt;/strong&gt; and &lt;strong&gt;Nabila El-Bassel&lt;/strong&gt;, the seminar brings together scholars and practitioners across social work, statistics, computer science, engineering, journalism, business, public health, and policy, with participation from government, civil society, and industry.&lt;/p&gt;
&lt;p&gt;This launch marks an important milestone for our &lt;a href="https://sites.stat.columbia.edu/tzheng/project/AI4SGS/"&gt;AI4SGS project&lt;/a&gt;: a shared cross-campus platform for interdisciplinary dialogue on responsible AI that is grounded in lived experience and community-centered practice.&lt;/p&gt;
&lt;h2 id="what-the-seminar-aims-to-do"&gt;What the Seminar Aims to Do&lt;/h2&gt;
&lt;p&gt;The seminar is designed as a recurring space for collaboration around core questions in socially responsible AI, including:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Ethical AI governance, accountability, and transparency&lt;/li&gt;
&lt;li&gt;Equity and inclusion in AI research and design&lt;/li&gt;
&lt;li&gt;Community engagement in the development and deployment of AI systems&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;As the seminar evolves, it is expected to support new collaborations, white papers, special issues, and project-based initiatives connecting research, education, and policy.&lt;/p&gt;
&lt;h2 id="why-this-matters-for-ai4sgs"&gt;Why This Matters for AI4SGS&lt;/h2&gt;
&lt;p&gt;For AI4SGS, this seminar strengthens the initiative&amp;rsquo;s mission to align technical innovation with social responsibility. It creates durable infrastructure for cross-disciplinary exchange and helps ensure that AI systems are evaluated not only for performance, but also for fairness, societal impact, and public trust.&lt;/p&gt;
&lt;h2 id="learn-more"&gt;Learn More&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href="https://universityseminars.columbia.edu/seminar/artificial-intelligence-for-social-good-and-society/" target="_blank" rel="noopener"&gt;University Seminar page&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="https://sig.columbia.edu/news/ai4sgs-initiative-announces-leading-university-seminar-ai-social-good-and-society" target="_blank" rel="noopener"&gt;SIG launch announcement&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;&lt;a href="https://sig.columbia.edu/content/artificial-intelligence-social-good-and-society-initiative-0" target="_blank" rel="noopener"&gt;AI4SGS initiative&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;</description></item></channel></rss>