Expert Working Group on Recommender Systems

The KGI Expert Working Group on Recommender Systems brings together researchers at the frontier of online recommender system design with leading civil society and industry practitioners. With expertise spanning computer science, data science, economics, social science, law, and policy, the group works to articulate how the algorithmic feeds that power today’s online experiences can be designed to put users’ interests first, and how public policy can support that goal. Read the group’s work in Better Feeds: Algorithms that Put People First.

Alex Moehring

Alex Moehring

Assistant Professor; Daniels School of Business, Purdue University

Arvind Narayanan

Arvind Narayanan

Professor of Computer Science and Director, Center for Information Technology Policy, Princeton University

Aviv Ovadya

Aviv Ovadya

CEO, AI & Democracy Foundation

Elissa Redmiles

Elissa Redmiles

Clare Luce Booth Assistant Professor of Computer Science, Georgetown University

Jeff Allen

Jeff Allen

Co-Founder & Chief Research Officer, Integrity Institute

Julia Kamin

Julia Kamin

Managing Director, Prosocial Design Network

Leif Sigerson

Leif Sigerson

Senior Data Scientist, Integrity Institute

Matt Motyl

Matt Motyl

Senior Advisor, University of Southern California's Neely Center for Ethical Leadership and Decision-Making

Motahhare Eslami

Motahhare Eslami

Assistant Professor at Carnegie Mellon University School of Computer Science

Nadine Farid Johnson

Nadine Farid Johnson

Policy Director, Knight First Amendment Institute at Columbia University

Nathaniel Lubin

Nathaniel Lubin

Founder & CEO; Survey 160 Inc, Incite Studio

Ravi Iyer

Ravi Iyer

Managing Director, USC Marshall School Neely Center

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