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Workshop on Ethical, Social and Governance Issues in AI
Chloe Bakalar · Sarah Bird · Tiberio Caetano · Edward W Felten · Dario Garcia · Isabel Kloumann · Finnian Lattimore · Sendhil Mullainathan · D. Sculley

Fri Dec 07 05:00 AM -- 03:30 PM (PST) @ Room 516 AB
Event URL: https://sites.google.com/view/aiethicsworkshop »


Ethics is the philosophy of human conduct: It addresses the question “how should we act?” Throughout most of history the repertoire of actions available to us was limited and their consequences constrained in scope and impact through dispersed power structures and slow trade. Today, in our globalised and networked world, a decision can affect billions of people instantaneously and have tremendously complex repercussions. Machine learning algorithms are replacing humans in making many of the decisions that affect our everyday lives. How can we decide how machine learning algorithms and their designers should act? What is the ethics of today and what will it be in the future?

In this one day workshop we will explore the interaction of AI, society, and ethics through three general themes.

Advancing and Connecting Theory: How do different fairness metrics relate to one another? What are the trade-offs between them? How do fairness, accountability, transparency, interpretability and causality relate to ethical decision making? What principles can we use to guide us in selecting fairness metrics within a given context? Can we connect these principles back to ethics in philosophy? Are these principles still relevant today?

Tools and Applications: Real-world examples of how ethical considerations are affecting the design of ML systems and pipelines. Applications of algorithmic fairness, transparency or interpretability to produce better outcomes. Tools that aid identifying and or alleviating issues such as bias, discrimination, filter bubbles, feedback loops etc. and enable actionable exploration of the resulting trade-offs.

Regulation: With the GDPR coming into force in May 2018 it is the perfect time to examine how regulation can help (or hinder) our efforts to deploy AI for the benefit of society. How are companies and organisations responding to the GDPR? What aspects are working and what are the challenges? How can regulatory or legal frameworks be designed to continue to encourage innovation, so society as a whole can benefit from AI, whilst still providing protection against its harms.

This workshop is designed to be focused on some of the larger ethical issues related to AI and can be seen as a complement to the FATML proposal, which is focused more on fairness, transparency and accountability. We would be happy to link or cluster the workshops together, but we (us and the FATML organizers) think that there is more than 2 day worth of material that the community needs to discuss in the area of AI and ethics, so it would be great to have both workshops if possible.

Author Information

Chloe Bakalar (Princeton University)
Sarah Bird (Facebook AI Research)

Sarah leads research and emerging technology strategy for Azure AI. Sarah works to accelerate the adoption and impact of AI by bringing together the latest innovations research with the best of open source and product expertise to create new tools and technologies. Sarah is currently leading the development of responsible AI tools in Azure Machine Learning. She is also an active member of the Microsoft AETHER committee, where she works to develop and drive company-wide adoption of responsible AI principles, best practices, and technologies. Sarah was one of the founding researchers in the Microsoft FATE research group and prior to joining Microsoft worked on AI fairness in Facebook. Sarah is active contributor to the open source ecosystem, she co-founded ONNX, an open source standard for machine learning models and was a leader in the Pytorch 1.0 project. She was an early member of the machine learning systems research community and has been active in growing and forming the community. She co-founded the SysML research conference and the Learning Systems workshops. She has a Ph.D. in computer science from UC Berkeley advised by Dave Patterson, Krste Asanovic, and Burton Smith.

Tiberio Caetano (Gradient Institute)
Edward W Felten (Princeton University)

Edward W. Felten is the Robert E. Kahn Professor of Computer Science and Public Affairs at Princeton University, and the founding Director of Princeton's Center for Information Technology Policy. He is a member of the United States Privacy and Civil Liberties Oversight Board. In 2015-2017 he served in the White House as Deputy U.S. Chief Technology Officer. In 2011-12 he served as the first Chief Technologist at the U.S. Federal Trade Commission. His research interests include computer security and privacy, and technology law and policy. He has published more than 150 papers in the research literature, and three books. He is a member of the National Academy of Engineering and the American Academy of Arts and Sciences, and is a Fellow of the ACM.

Dario Garcia (Facebook)
Isabel Kloumann (Facebook)
Finnian Lattimore (The Gradient Institute)
Sendhil Mullainathan (University of Chicago)
D. Sculley (Google Research)

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