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Eddan Katz

AI Ethics, Governance, and Policy

Eddan Katz is a professional with a strong background in technology and ethics, artificial intelligence policy, human rights, civil liberties, and access to knowledge.

He has been involved in addressing global flows of information, the knowledge economy, contextual privacy, general data protection, intellectual property, and the public domain, particularly in the context of the fourth industrial revolution.

Eddan's educational journey includes a J.D. in Law and Technology from the University of California, Berkeley - School of Law, a Post-Doctoral Fellowship with the Information Society Project at Yale Law School, and a Postdoctoral Scholar position at the School of Information at the University of California, Berkeley.

His academic foundation comprises a B.A. in Philosophy from Yale University and a High School Diploma in General Studies from Harvard-Westlake School.

Throughout his career, Eddan has held various key positions in renowned organizations. He has served as an AI Policy Analyst at Ethical Intelligence, an Affiliate Fellow (in Practice) at the Yale Information Society Project, and contributed to Reality Labs: Public Policy Research at Meta.

Additionally, he has acted as a Tech Policy Advisor at Credo AI, a Platform Curator focusing on AI/ML at the World Economic Forum, and has worked on Data Policy and Protocol Design Networks at the same forum.

Eddan Katz has also held the role of International Affairs Director at the Electronic Frontier Foundation, acted as a Lecturer at Yale Law School, and served as Executive Director at the Yale Information Society Project.

Highlights

May 31 · linkedin

The Implement case study (https://lnkd.in/gPsq3CH5) I wrote with Olivia Gambelin, accompanying the Ethical Intelligence Values Canvas, explains the theory and process that went into the Procurement in a Box initiative of the World Economic Forum (WEF), a project I lead for the AI Governance platform of the Center for the Fourth Industrial Revolution (C4IR).

Procurement in a Box is a great example of implementation not only as an AI Ethics framework for government procurement of AI systems, but also as a trailblazer proof of concept that took the agile governance multi-stakeholder methodology all the way from idea and consensus to implementation through pilots, scaling, and beyond. An excerpt from the case study below:

"Looking at the problem at hand, the WEF C4IR team realized that there was an opportunity for governments to shape industry norms not only through regulation, but also through its market power as the biggest buyer of AI technology in just about every country in the world. By setting the standards for how vendors test their products, what kind of information they provide, and how they should meet procurement criteria - those rules would most likely have a strong ripple effect on how the whole industry evaluates best practices for Responsible AI. ... The immediate objective was to give government procurement officials actionable recommendations on how to integrate Responsible AI into the requirements that vendors have to satisfy as part of the procurement process. From the WEF C4IR point of view, the mid-term goal was to demonstrate the viability of the agile governance methodology to go from establishing industry consensus on a multi-stakeholder framework all the way to operationalizing its principles through public-private partnership implementation pilots. The long-term goal was to set the course for consensus on a Responsible AI framework that would shape the norms of the AI industry by standardizing the government procurement process with best practices."

Mar 28 · linkedin

Yesterday, Ethical Intelligence filed these comments to the NTIA consultation on Openness in AI on behalf of our independent consulting group offering Responsible AI ethics and governance services.

"These comments are focused rather on the societal implications relating to development of a more level playing field for innovation in the AI ecosystem; the extensibility of AI systems for diversity and specialization; and the impartiality of AI ethics and governance oversight. Structural policy enabling greater access to knowledge is critical for the last mile of RAI implementation that constitutes our work.

In this letter, we would like to highlight three aspects in the discussion of openness in AI of critical importance to independent RAI professionals and the companies we work with: (1) stimulating growth and innovation in small businesses; (2) facilitating customized solutions and diverse applications; and (3) enabling the independent evaluation of AI systems."

Eddan Katz
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Location

Oakland, California, United States