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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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Economics professors Daron Acemoglu, MIT, and Pascual Restrepo, BU, explain why the US and many industrialized countries are seeing rising wage inequality go hand in hand with modest productivity gains.
In their article, “From Trade Secrecy to Seclusion,” UC Berkeley law professor Sonia Katyal and UC Hastings adjunct law professor Charles Graves argue that trade secret law is being applied beyond its intended purpose of protecting intellectual property and increasingly being used as a tool for open-ended concealment.
Stanford professor Erik Brynjolfsson discusses the strengths of AI technology, the challenges of measuring the economic impact of the digital economy, and how digitally resilient companies were in a better position to thrive through the pandemic than others
George Washington University law professor Daniel Solove interviews Washington University law professor Neil Richards about his book, "Why Privacy Matters".
Introduction to recent books by TAP scholars that examine issues about privacy, AI, patents, antitrust, national security, and cloud computing.
George Washington University law professor Daniel Solove provides his list of notable books on privacy and security from 2021.
Can we observe whether artificial intelligence is destroying jobs, by, for instance, replacing humans for some tasks, or creating jobs, perhaps by increasing productivity as it provides humans with the tools to do more tasks? MIT economist Daron Acemoglu summarizes research that he has conducted with his colleagues to answer this question.
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.
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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

Complex Questions as Face Recognition Tech Joins Ukraine War

“One of the most well-known problems with facial recognition technology is that it's not perfect, and it will make errors and in some cases those misidentifications can be life changing.” — Eric Goldman, Co-director, High Tech Law Institute, Santa Clara University School of Law

Eric Goldman
Radio France Internationale (RFI)
March 25, 2022

Featured Article

When Machine Learning is Facially Invalid

Some researchers claim that artificial intelligence-based systems (AI) could be used to identify criminals based on their facial features. These technologies may be biased, and could lead to more surveillance and social control. 

By: Frank Pasquale