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Better Metrics, Shared Prosperity - B Cavello, Katya Klinova, Jonathan Stray - RxC 2020

Автор: RadicalxChange

Загружено: 2020-07-08

Просмотров: 235

Описание: The Partnership on AI is an industry, civil-society, and academic collaboration of over 100 organizations committed to the responsible development of AI. The AI, Labor and Economy program is creating a research agenda for a largely missing field within Responsible AI research: designing for economic inclusion and deliberate expansion of workers' economic opportunity. The "What Are You Optimizing For?" project is focused on better use of metrics by ML algorithms and teams, so that automated systems can incorporate human outcomes like well-being.

SPEAKERS
B Cavello is a Program Lead at the Partnership on AI (PAI), a non-profit multi-stakeholder initiative focused on advancing the benefits and addressing the challenges of machine intelligence. B leads PAI research in areas such as fairness, transparency, and AI's impact on labor, and works closely with PAI Partner organizations to steer the responsible development of AI. B also served as a MIT-Harvard Assembly Fellow as part of the 2019 Ethics and Governance in AI Initiative. Previously, B served as Senior Engagement Lead for IBM's AI division, the Watson Group, where they led strategic conversations with world leaders about implementing Artificial Intelligence in the real world. In June of 2017, B was recognized as an IBM LGBT+ 'Out Role Model' for championing diversity and inclusion in and beyond IBM. Prior to IBM, B was both Product Development and Community Director at Exploding Kittens, a record-breaking crowdfunded card game startup. B also co-led Phenomenon Media 501c3, and arts and education nonprofit, developing an educational tool for teaching code without the need for computers.

Katya Klinova leads AI, Labor, and the Economy Research Programs at the Partnership on AI, focusing on studying the mechanisms for steering AI progress towards greater equality of opportunity and improving the working conditions along the AI supply chain.Prior to PAI, Katya's graduate research focused on understanding the potential impact of AI advancement on the economic growth prospects of developing countries. She worked at the UN Executive Office of the Secretary-General to prepare the launch of the SG’s Strategy for New Technology, and at Google in a variety of communications and partnerships roles on Chrome, Search, core brand, Play, and developer relations. Katya holds an MPA in International Development from Harvard University (USA), an M.Sc. in Networks and e-Business Centered Computing from University of Reading (UK), and a B.S. cum laude in Applied Mathematics and Computer Science from Rostov state University (Russia).

Jonathan Stray is a research fellow at the Partnership on AI, specializing on the development of human-centered metrics for AI systems. He previously taught the dual masters degree in computer science and journalism Columbia university, and built software for investigative journalism. He has worked as an editor at the Associated Press, a reporter in Hong Kong, and a research scientist at Adobe Systems. He holds an M.Sc. in Computer Science from the University of Toronto, and an MA in Journalism from the University of Hong Kong.

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Better Metrics, Shared Prosperity - B Cavello, Katya Klinova, Jonathan Stray - RxC 2020

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