<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=Windows-1252">
<style type="text/css" style="display:none;"> P {margin-top:0;margin-bottom:0;} </style>
</head>
<body dir="ltr">
<div class="elementToProof" style="font-family: Arial, Helvetica, sans-serif; font-size: 11pt; color: rgb(134, 17, 6);">
<i>UNIVERSITY OF CHICAGO</i></div>
<div class="elementToProof" style="font-family: Arial, Helvetica, sans-serif; font-size: 11pt; color: rgb(134, 17, 6);">
<i>COMPUTER SCIENCE DEPARTMENT</i></div>
<div class="elementToProof" style="font-family: Arial, Helvetica, sans-serif; font-size: 11pt; color: rgb(134, 17, 6);">
<i>PRESENTS</i></div>
<div class="elementToProof" style="font-family: Arial, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">
<br>
</div>
<div class="elementToProof" style="font-family: Arial, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">
<b>Haifeng Xu</b></div>
<div class="elementToProof" style="font-family: Arial, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">
<b>Assistant Professor in Computer Science and Data Science</b></div>
<div class="elementToProof" style="font-family: Arial, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">
<b>University of Chicago</b></div>
<div class="elementToProof" style="font-family: Arial, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">
<br>
</div>
<div class="elementToProof" style="direction: ltr; text-align: left; text-indent: 0px; margin: 0px; font-family: Arial, Helvetica, sans-serif; font-size: 11pt; color: black;">
<b>Friday, March 7th</b></div>
<div class="elementToProof" style="direction: ltr; text-align: left; text-indent: 0px; margin: 0px; font-family: Arial, Helvetica, sans-serif; font-size: 11pt; color: black;">
<b>10:00am - 11:00am</b></div>
<div class="elementToProof" style="direction: ltr; text-align: left; text-indent: 0px; margin: 0px; font-family: Arial, Helvetica, sans-serif; font-size: 11pt; color: black;">
<b>In person: John Crerar Library 298</b></div>
<div class="elementToProof" style="direction: ltr; text-align: left; text-indent: 0px; margin: 0px; font-family: Arial, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">
<br>
</div>
<div class="elementToProof" style="font-family: Arial, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">
<b>Title: Rethinking Online Content Ecosystems through the Lens of Computational Economics</b></div>
<div class="elementToProof" style="font-family: Arial, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">
<br>
</div>
<div class="elementToProof" style="font-family: Arial, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">
<b>Abstract</b>: Online contents not only are important to our life but also underlie the recent success of generative AIs (GenAIs) technology. In turn, GenAI is also revolutionizing the way contents are now created, which is much less costly, possibly even
more creative, though depending on availability of human-created contents to sustainably refine GenAI’s model training. Such human-AI mutual dependence is fundamentally transforming existing content ecosystems. If not addressed properly, it may distort human
creators’ incentives and even drive humans out of the ecosystem. In this talk, I will present our recent works on understanding content creation competitions through the lens of algorithmic economics, and how to design creator reward mechanisms to incentivize
desirable distribution of created contents. Our designed mechanism not only enjoys nice theoretical properties, but also achieved promising efficiency during live tests with ~10 millions of users on Instagram Reels. </div>
<div class="elementToProof" style="font-family: Arial, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">
<br>
</div>
<div class="elementToProof" style="font-family: Arial, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">
<b>Bio</b>: Haifeng Xu is an assistant professor in computer science and data science at the University of Chicago and directs the Strategic Intelligence for Machine Agents (SIGMA) research lab which focuses on agentic AI and data-driven decision making, particularly
in non-cooperative multi-agent setups. His works have been recognized by a few awards, including an AI2050 Early Career Fellow, IJCAI Early Career Spotlight, a WWW best paper and an AAMAS best student paper. </div>
<div class="elementToProof" style="font-family: Arial, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">
<br>
</div>
<div class="elementToProof" style="font-family: Arial, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">
<br>
</div>
<div class="elementToProof" style="font-family: Arial, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">
<br>
</div>
<div class="elementToProof" style="font-family: Arial, Helvetica, sans-serif; font-size: 11pt; color: rgb(0, 0, 0);">
<img id="image_0" width="229" height="270" style="width: 229.22449px; height: 270px; max-width: 841px;" data-outlook-trace="F:1|T:1" src="cid:0f1a47e6-c37d-45ea-a68f-71c3be192533"></div>
</body>
</html>