Skip to main content
Technology | Academics | Policy - Home
  • Topics
    • Topics

    • Topics OverviewOverview
    • Artificial Intelligence and Machine Learning
      • Artificial Intelligence and Machine Learning

      • Artificial Intelligence and Machine Learning OverviewOverview
      • Artificial Intelligence Policy
      • Ethics of Artificial Intelligence
      • Generative AI
    • Cybersecurity
      • Cybersecurity

      • Cybersecurity OverviewOverview
      • Cyber Peace / Cyber Warfare
      • Election Security
    • Impact of Tech on Society
      • Impact of Tech on Society

      • Impact of Tech on Society OverviewOverview
      • Future of Work
      • Tech’s Impact on Economic Equity
      • Tech’s Impact on Racial and Gender Equity
    • Innovation and Economic Impact
    • Intellectual Property and Open Source
      • Intellectual Property and Open Source

      • Intellectual Property and Open Source OverviewOverview
      • Copyright and Trademarks
      • Open Source
      • Patents
    • Networks and Infrastructure
      • Networks and Infrastructure

      • Networks and Infrastructure OverviewOverview
      • Broadband and Wireless Technologies
      • Cloud Computing
      • Internet
      • Net Neutrality
    • Platforms and Platform Regulation
      • Platforms and Platform Regulation

      • Platforms and Platform Regulation OverviewOverview
      • Antitrust / Competition
      • Content Moderation/Section 230
      • Disinformation / Misinformation
      • Freedom of Speech
      • Media and Content
    • Privacy
      • Privacy

      • Privacy OverviewOverview
      • Cross-Border Data Transfers
  • Scholars
  • Events
  • For the Media
    • For the Media

    • Media OverviewMedia Overview
    • Fact Sheets
    • Press Releases
  • About TAP
  • Subscribe to our Newsletter

Breadcrumbs

Home is the parent page of All Technology Policy Topics is the parent page of Go up a level to Artificial Intelligence and Machine Learning is the parent page of

Artificial Intelligence Policy

View the Artificial Intelligence and Machine Learning topic summary sheet

Artificial Intelligence Policy Scholars

 Braden Allenby

Braden Allenby

Colleges / Universities: Arizona State University

  • Innovation and Economic Impact
  • Disinformation / Misinformation
  • Platforms and Platform Regulation
  • Artificial Intelligence and Machine Learning
  • Artificial Intelligence Policy

danah boyd

danah boyd

Colleges / Universities: Microsoft New England Research & Development Center

  • Privacy
  • Artificial Intelligence and Machine Learning
  • Impact of Tech on Society
  • Artificial Intelligence Policy
  • Platforms and Platform Regulation

Danielle Citron

Danielle Citron

Colleges / Universities: University of Virginia

  • Privacy
  • Artificial Intelligence and Machine Learning
  • Artificial Intelligence Policy
  • Ethics of Artificial Intelligence
  • Platforms and Platform Regulation
  • Content Moderation/Section 230
  • Disinformation / Misinformation

Daron Acemoglu

Daron Acemoglu

Colleges / Universities: Massachusetts Institute of Technology

  • Innovation and Economic Impact
  • Antitrust / Competition
  • Artificial Intelligence and Machine Learning
  • Artificial Intelligence Policy
  • Generative AI
  • Impact of Tech on Society
  • Future of Work
  • Tech’s Impact on Economic Equity
See All Artificial Intelligence Policy Topic Scholars

Recent Artificial Intelligence Policy Blog Posts

BLOG POST

Erik Brynjolfsson: Why Using AI to Augment Human Capabilities Has More Value Than Automation

Publication Date: February 24, 2023
Stanford Professor Erik Brynjolfsson discusses the perils of focusing AI development on systems that outmatch human capabilities as opposed to systems that complement humans.
Written By
TAP Staff Blogger
Featuring

Erik Brynjolfsson

Erik BrynjolfssonTAP Scholar
  • Artificial Intelligence and Machine Learning
  • Innovation and Economic Impact
  • Future of Work
  • Artificial Intelligence Policy
  • Impact of Tech on Society
BLOG POST

AI and the Equality Machine: An Interview with Orly Lobel

Publication Date: November 1, 2022
Privacy law expert Daniel Solove, George Washington University, discusses the promise of artificial intelligence with Professor Orly Lobel , UC San Diego School of Law. Professor Lobel’s new book, The Equality Machine, offers an optimistic view of AI.
Written By

Daniel Solove

Daniel J. SoloveTAP Scholar
  • Artificial Intelligence and Machine Learning
  • Artificial Intelligence Policy
BLOG POST

Future of Privacy Forum’s “Must Read” Privacy Papers for Policymakers

Publication Date: January 29, 2018
Four TAP Scholars have been honored with the Future of Privacy Forum’s Privacy Papers for Policymakers Award. Read summaries of all the papers selected for this 8th annual award that recognizes leading privacy scholarship relevant to U.S. policymakers.
Written By
TAP Staff Blogger
  • Privacy
  • Innovation and Economic Impact
  • Networks and Infrastructure
  • Artificial Intelligence and Machine Learning
  • Artificial Intelligence Policy
  • Cybersecurity
See All Artificial Intelligence Policy Topic Blog Posts
Technology | Academics | Policy - Home
Follow us on TwitterLink us on LinkedinLike us on FacebookWatch us on youtube
  • Blog Posts
  • Academic Article Summaries
  • Fact Sheets
  • Hot Topic

Subscribe to our Newsletter

Name
  • Privacy & Cookies
  • Terms of Use
  • Feedback
© Copyright 2023