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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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TAP Blog

Competing in the Age of AI, a new book by Harvard business professors Marco Iansiti and Karim R. Lakhani, shows how reinventing organizations around data, analytics, and artificial intelligence (AI) removes traditional constraints that restrict business growth.
Five TAP Scholars have been honored with the Future of Privacy Forum’s Privacy Papers for Policymakers Award. Read summaries of the papers selected for this 10th annual award that recognizes leading privacy scholarship relevant to U.S. policymakers.
Take a look at the top viewed blog posts from this past year that have been written by TAP scholars.
George Washington University law professor Daniel Solove provides his list of notable books on privacy and security from 2019.
Harvard Business School professor Shane Greenstein provides a tongue-in-cheek look at notable information technology events and people from 2019.
Harvard business professor Shane Greenstein discusses some of the factors that machine-learning startups consider in developing their innovative products for commercial value.
In “Algorithmic Impact Assessments under the GDPR: Producing Multi-layered Explanations”, Colorado Law Professor Margot Kaminski and Gianclaudio Malgieri, Vrije Universiteit Brussel, explore how a Data Protection Impact Assessment (DPIA) links the two faces of the GDPR’s approach to algorithmic accountability: individual rights and systemic collaborative governance.
Numerous colleagues have paid tribute to Professor Ian Kerr over the past month. TAP presents a few of the tributes that express how deeply his friendship, mentoring, scholarship, and zest for life are missed.
Harvard law professor and cyberlaw expert Jonathan Zittrain discusses the challenges of governing artificial intelligence technology during a Berkman Klein Center luncheon talk.
Boston University law professor Danielle Citron shares how the use of deepfake technology to manipulate video and audio for malicious purposes is becoming a real threat.
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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

Some Workers Hate Robots. Retraining May Change That.

"The biggest barrier to getting technology rolled out is the organizational resistance to adoption. So companies need a strategy not only for how to get it to work, but also how to get the work force behind getting it rolled out." — Erik Brynjolfsson, Professor of Economics, MIT

Erik Brynjolfsson
The New York Times
July 19, 2019

Featured Article

Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security

"Deep fake" technology makes it possible to create audio and video files of real people saying and doing things they never said or did. These technologies create policy and legal problems. Possible responses include technological solutions, criminal and civil liability, and regulation.

By: Danielle Citron, Robert Chesney