Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.

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

Navigate
  • About
  • Events
  • Careers
  • Search
Participate
  • Get Involved
  • Support HAI
  • Contact Us
Skip to content
  • About

    • About
    • People
    • Get Involved with HAI
    • Support HAI
  • 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
news

Michal Kosinski: Living in a post-privacy world

Date
May 08, 2018
Topics
Machine Learning
Your browser does not support the video tag.

Algorithms that dig into our digital lives to predict behavior have become a hot topic. Michal Kosinski talks about the pros and cons of life in a hyper-connected world.

Share
Link copied to clipboard!
Contributor(s)
the ​Stanford Engineering Staff

Related News

Chatbots, Like the Rest of Us, Just Want to Be Loved
Wired
Mar 05, 2025
Media Mention

A study led by Stanford HAI Faculty Fellow Johannes Eichstaedt reveals that large language models adapt their behavior to appear more likable when they are being studied, mirroring human tendencies to present favorably.

Media Mention
Your browser does not support the video tag.

Chatbots, Like the Rest of Us, Just Want to Be Loved

Wired
Natural Language ProcessingMachine LearningGenerative AIFoundation ModelsMar 05

A study led by Stanford HAI Faculty Fellow Johannes Eichstaedt reveals that large language models adapt their behavior to appear more likable when they are being studied, mirroring human tendencies to present favorably.

Carlos Guestrin to Lead Stanford AI Lab as it Joins Forces with Stanford HAI
Shana Lynch
Quick ReadFeb 20, 2025
News
Carlos Guestrin

The computer scientist will invest in SAIL’s vibrant research community as it builds the future of technical AI.

News
Carlos Guestrin

Carlos Guestrin to Lead Stanford AI Lab as it Joins Forces with Stanford HAI

Shana Lynch
Machine LearningQuick ReadFeb 20

The computer scientist will invest in SAIL’s vibrant research community as it builds the future of technical AI.

Why Corporate AI Projects Succeed or Fail
Dylan Walsh
Feb 18, 2025
News
board room

Stanford researchers uncover the key factors behind successful AI development in the workplace.

News
board room

Why Corporate AI Projects Succeed or Fail

Dylan Walsh
Economy, MarketsMachine LearningFeb 18

Stanford researchers uncover the key factors behind successful AI development in the workplace.