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Artificial Intelligence

Artificial intelligence (AI) refers to technologies that perceive, learn and reason in ways that simulate human cognitive abilities. TAP scholars consider AI’s effects on labor, business, policing, law, medicine, war, free speech, privacy and democracy, and discuss potential solutions to mitigate harms.

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Introduction to several recent articles by TAP scholars that explore the impact of artificial intelligence technologies on the future of work, racial and gender equity, privacy, and administrative accountability.
In an article written for Boston Review, MIT economics professor Daron Acemoglu examines the current impact of AI technologies and automation on the economy, society, and democracies; and provides a course of action for redirecting “AI research toward a more productive path.”
University of North Carolina School of Law professor Ifeoma Ajunwa addresses unintended bias in automated decision-making.
In this second part of Professor Théodore Christakis and Mathias Becuywe’s article delving into the EU’s draft proposal for artificial intelligence regulation, the authors focus on the rules proposed to regulate the use of remote biometric identification (RBI) in publicly accessible spaces for the purpose of law enforcement.
In this first of a two-part article delving into the EU’s draft proposal for artificial intelligence regulation, Professor Théodore Christakis and his coauthor Mathias Becuywe, both with University Grenoble Alpes, present the provisions of the draft AI Regulation that relate to remote biometric identification, such as facial recognition, gait, or voice recognition.
Professor Joseph Turow, Annenberg School for Communication, discusses the technology changes in voice profiling, and explains how “companies could soon tailor what they try to sell you based on the mood conveyed by the sound of your voice.”
In her new book, Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence, Professor Kate Crawford, USC Annenberg School of Communication, offers a material and political perspective on what it takes to make AI and how it centralizes power.
Evan Selinger, Rochester Institute of Technology philosophy professor, talks with journalist Clive Thompson about how the media covers responsible uses of technology.
Harvard professor Jonathan Zittrain shares several years of thinking around digital governance during his talk at the 2020 Tanner Lecture on Human Values. His two-part lecture, titled “Gaining Power, Losing Control,” reflects on how technology has empowered humanity, and yet in many ways, we have less and less control.
A selection of articles recently written by TAP scholars explore AI and the impact on privacy, how to safeguard privacy and security in an interconnected world, digital platforms and antitrust, and patent reform to support innovation.
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Fact Sheets

Artificial Intelligence

Artificial intelligence (AI) refers to technologies that perform learning and reasoning in ways that simulate human cognitive abilities.

Quote

Do we need humans for that job? Automation booms after COVID

“Many of the jobs that get automated were at the middle of the skill distribution. They don’t exist anymore, and the workers that used to perform them are now doing lower-skill jobs.” — Daron Acemoglu, Professor of Economics, MIT

Daron Acemoglu
AP News
September 5, 2021

Featured Article

Algorithms at Work: Productivity Monitoring Applications and Wearable Technology as the New Data-Centric Research Agenda for Employment and Labor Law

Increasingly, employers use applications and wearable technologies to monitor employees at work. Monitoring systems raise new legal issues related to privacy rights, discrimination, and worker safety.

By: Ifeoma Ajunwa