HAI Weekly Seminar with Pamela Chen | Stanford HAI
Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
Skip to content
  • About

    • About
    • People
    • Get Involved with HAI
    • Support HAI
    • Subscribe to Email
  • Research

    • Research
    • Fellowship Programs
    • Grants
    • Student Affinity Groups
    • Centers & Labs
    • Research Publications
    • Research Partners
  • Education

    • Education
    • Executive and Professional Education
    • Government and Policymakers
    • K-12
    • Stanford Students
  • Policy

    • Policy
    • Policy Publications
    • Policymaker Education
    • Student Opportunities
  • AI Index

    • AI Index
    • AI Index Report
    • Global Vibrancy Tool
    • People
  • News
  • Events
  • Industry
  • Centers & Labs
Navigate
  • About
  • Events
  • AI Glossary
  • Careers
  • Search
Participate
  • Get Involved
  • Support HAI
  • Contact Us

Stay Up To Date

Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.

Sign Up For Latest News

Your browser does not support the video tag.
eventSeminar

HAI Weekly Seminar with Pamela Chen

Status
Past
Date
Friday, November 08, 2019 11:00 AM - 12:00 PM PST/PDT
Topics
Machine Learning

In this talk, Pamela Chen, 2020 Human-Centered AI and JSK Journalism Fellow at Stanford, shares her experiences leading an editorial team at Instagram as the company scaled content discovery to serve more than 1 billion monthly active users. Spoiler alert: it doesn’t go as planned. 

As content platforms began to rely on machine learning to personalize recommendations, they inadvertently enabled a new human creator class who specialized in going viral via the machine. The ranking algorithms got better at predicting the content we respond to, and these viral meme creators got better at achieving the response the algorithms were designed to predict. This emerging feedback loop, combined with the hard learnings of scaling content discovery, has led to new questions.

Who are the players behind “the power of memes” to both expand the global cultural zeitgeist and enable targeted disinformation campaigns at astounding scale? And how can better understanding the ecosystem change the way we approach the design of human-centered AI in content curation systems today?

Pamela Chen
HAI Network Affiliate
Share
Link copied to clipboard!
More from HAI and SDS seminars
  • Inside the 2026 AI Index Report | Stanford HAI
    SeminarMay 20, 202612:00 PM - 1:15 PM
    May
    20
    2026

    The AI Index, currently in its ninth year, tracks, collates, distills, and visualizes data relating to artificial intelligence.

Related Events

Wolfgang Lehrach | Code World Models for General Game Playing
SeminarMay 13, 202612:00 PM - 1:15 PM
May
13
2026

While Large Language Models (LLMs) show promise in many domains, relying on them for direct policy generation in games often results in illegal moves and poor strategic play.

Seminar

Wolfgang Lehrach | Code World Models for General Game Playing

May 13, 202612:00 PM - 1:15 PM

While Large Language Models (LLMs) show promise in many domains, relying on them for direct policy generation in games often results in illegal moves and poor strategic play.

AI+Science: Accelerating Discovery
ConferenceMay 05, 20268:30 AM - 6:45 PM
May
05
2026

AI+Science: Accelerating Discovery is an interdisciplinary conference bringing together researchers across physics, mathematics, chemistry, biology, neuroscience, and more to examine how AI is reshaping scientific discovery.

Conference

AI+Science: Accelerating Discovery

May 05, 20268:30 AM - 6:45 PM

AI+Science: Accelerating Discovery is an interdisciplinary conference bringing together researchers across physics, mathematics, chemistry, biology, neuroscience, and more to examine how AI is reshaping scientific discovery.