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46 Fordham Urb. L.J. 428 (2019)
Equality and Privacy by Design: A New Model of Artificial Intelligence Data Transparency via Auditing, Certification, and Safe Harbor Regimes

handle is hein.journals/frdurb46 and id is 443 raw text is: EQUALITY AND PRIVACY BY DESIGN: A NEW MODEL OF ARTIFICIAL INTELLIGENCE DATA TRANSPARENCY VIA AUDITING, CERTIFICATION, AND SAFE HARBOR REGIMES Shlomit Yanisky-Ra vid & Sean K Hallisey* ABSTRACT Artificial Intelligence and Machine Learning (AI) are often described as technological breakthroughs that will completely transform our society and economy. AI systems have been implemented everywhere, from medicine, transportation, finance, art, to legal and social spheres, and even in weapons development. In many sectors, AI systems have already started making decisions previously made by humans. Promising as AI systems may be, they also pose urgent challenges to our everyday life. While much attention has concerned AI's legal implications, the literature suffers from a lack of solutions that account for both legal and engineering practices and constraints. This leaves technology firms without * Professor Shlomit Yanisky-Ravid, Ph.D., Fordham Law School, Visiting Professor; Fordham Law Center on Law and Information Policy (CLIP), Head of AI-IP and Blockchain Project; Yale Law School, Information Society Project (ISP), Fellow; Ono Law School, Israel, Senior Faculty, the Shalom Comparative Legal Research Institute, OAC, Founder and Academic Director. Sean K. Hallisey, Fordham Law, CLIP, AI-IP Project, Fellow. We gratefully dedicate this Article to Joel Reidenberg, the founder and the head of Fordham Law Center of Law and Information Policy (CLIP), for his initiative, support, and encouragement, all of which tremendously contributed to the writing of this Article and the development of its ideas. We would also like to thank all the Fellows at the Fordham CLIP IP-Al and Blockchain Project, Yale Law, ISP, as well as to the students of the course Intellectual Property and the Challenges of Advanced Technology: Al and Blockchain, for their wonderful discussions, insights and comments. Finally, we thank Dean Matthew Diller, Fordham Law School, for promoting and stressing the challenges of advanced technology, data privacy, and intellectual property, and Linda Sugin, Associate Dean for Academic Affairs at Fordham Law, for her support. 428

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