George Washington law professor Daniel Solove discusses several ethical issues connected with the advances of artificial intelligence.
Rotman School of Management economists Joshua Gans, Avi Goldfarb, and Ajay Agrawal discuss how regulatory policy and policies to mitigate potential negative consequences could impact the adoption of AI.
Professors Evan Selinger, Rochester Institute of Technology, and Woodrow Hartzog, Northeastern University, expose the dangers of facial recognition technology.
Harvard economics professor Shane Greenstein provides a grounded sense of the future of automation and machine learning.
In the keynote speech for “re:publica 18,” danah boyd discussed media manipulation, accountability, and strategic silence in our current media ecosystem.
Economists Joshua Gans, Ajay Arawal, and Avi Goldfarb offer strategies to the business world for understanding and evaluating the implications of artificial intelligence on businesses.
During the 7th annual We Robot conference, several TAP scholars participated. Read summaries of papers from Mark Lemley, Ryan Calo, and Ian Kerr.
Legal researchers and computer scientists explore the potential liability for using adversarial machine learning to "trick" robots.
Evan Selinger, philosophy professor at Rochester Institute of Technology, questions if robots should be designed to deserve rights, ‘robot rights’.
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.