FTC Hearing #7: The Competition and Consumer Protection Issues of Algorithms, Artificial Intelligence, and Predictive Analytics
The Federal Trade Commission (FTC) hosted the seventh session of its Hearings on Competition and Consumer Protection in the 21st Century on November 13-14, 2018, at the Howard University School of Law in Washington, D.C. This event focused on the competition and consumer protection issues associated with the use of algorithms, artificial intelligence (AI), and predictive analytics in business decisions and conduct.
Key topics addressed during the hearing included the current and potential uses of these technologies, ethical and consumer protection concerns, the impact on competitive dynamics, and policy considerations. Sessions featured discussions on real-world applications, ethical principles, and emerging competition and innovation questions related to AI and predictive analytics.
Notable speakers included Michael Kearns from the University of Pennsylvania, who delivered the opening address, and Joy Buolamwini, founder of the Algorithmic Justice League, who presented on facial analysis technology. The event provided a platform for policymakers, academics, industry leaders, and consumer advocates to engage in meaningful dialogue about the implications of these technologies.
This hearing was particularly relevant for professionals in technology, law, policy, and consumer advocacy, offering insights into the evolving landscape of AI and predictive analytics and their intersection with competition and consumer protection.
Speakers(10)
D. Bruce Hoffman
Director, Bureau of Competition at Federal Trade Commission
D. Bruce Hoffman is the Director of the Bureau of Competition at the Federal Trade Commission, overseeing antitrust enforcement.
Fred H. Cate
Senior Policy Advisor at Center for Information Policy Leadership
Fred H. Cate is a senior policy advisor at the Center for Information Policy Leadership and a professor at Indiana University Maurer School of Law.
Irene Liu
General Counsel at Checkr
Irene Liu serves as General Counsel at Checkr, overseeing legal and compliance matters.
Jennifer Wortman Vaughan
Senior Researcher at Microsoft Research
Jennifer Wortman Vaughan is a senior researcher at Microsoft Research, specializing in machine learning and algorithmic fairness.
Jeremy Gillula
Tech Policy Director at Electronic Frontier Foundation
Jeremy Gillula is the Tech Policy Director at the Electronic Frontier Foundation, working on issues related to privacy and technology.
Joy Buolamwini
Founder at Algorithmic Justice League
Joy Buolamwini is the founder of the Algorithmic Justice League, focusing on bias in artificial intelligence.
Marianela López-Galdos
Director of Competition & Regulatory Policy at Computer & Communications Industry Association
Marianela López-Galdos is the Director of Competition & Regulatory Policy at the Computer & Communications Industry Association.
Michael I. Jordan
Professor at University of California, Berkeley
Michael I. Jordan is a professor at the University of California, Berkeley, known for his work in machine learning and statistics.
Michael Kearns
Professor at University of Pennsylvania
Michael Kearns is a professor at the University of Pennsylvania, specializing in machine learning and artificial intelligence.
Ryan Calo
Associate Professor at University of Washington School of Law
Ryan Calo is an associate professor at the University of Washington School of Law, focusing on technology law and policy.
Event Details
- Date
- November 13-14, 2018
- 2 days
- Location
- 🇺🇸 Washington, D.C., United States
- Howard University School of Law
- Pricing
- Free
- Audience
- Policymakers, academics, industry leaders, consumer advocates, and professionals in technology, law, and policy.
- CLE Credits
- Not specified
- Attendees
- Not specified