The Ethics of Artificial Intelligence

October 14, 2016 - October 15, 2016
NYU Center for Mind, Brain and Consciousness and NYU Center for Bioethics

Kimmel Center, NYU (Friday) and Cantor Theater, NYU (Saturday)
New York 10003
United States


Nick Bostrom
Future of Humanity Institute
Meia Chita-Tegmark
Future of Life Institute
Mara Garza
UC Riverside
Sam Harris
Yann LeCun
Peter Railton
University of Michigan, Ann Arbor
Francesca Rossi
University of Padova
Stuart Russell
UC Berkeley
Susan Schneider
University of Connecticut
Eric Schwitzgebel
University of California, Riverside
Max Tegmark
Future of Life Institute
Wendell Wallach
Yale University
Eliezer Yudkowsky
Machine Intelligence Research Institute


Ned Block
New York University
David Chalmers
New York University
New York University

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On October 14-15, 2016, the NYU Center for Mind, Brain and Consciousness in conjunction with the NYU Center for Bioethics will host a conference on “The Ethics of Artificial Intelligence”.

Recent progress in artificial intelligence (AI) makes questions about the ethics of AI more pressing than ever. Existing AI systems already raise numerous ethical issues: for example, machine classification systems raise questions about privacy and bias. AI systems in the near-term future raise many more issues: for example, autonomous vehicles and autonomous weapons raise questions about safety and moral responsibility. AI systems in the long-term future raise more issues in turn: for example, human-level artificial general intelligence systems raise questions about the moral status of the systems themselves.

This conference will explore these questions about the ethics of artificial intelligence and a number of other questions, including:

What ethical principles should AI researchers follow?
Are there restrictions on the ethical use of AI?
What is the best way to design AI that aligns with human values?
Is it possible or desirable to build moral principles into AI systems?
When AI systems cause benefits or harm, who is morally responsible?
Are AI systems themselves potential objects of moral concern?
What moral framework and value system is best used to assess the impact of AI?


Registration is free but required. Follow relevant links at ( to register for free.

Please note that admission for unpaid registrants is not guaranteed by registration.  Our venues seat 452 people (Friday) and 315 people (Saturday). We do not know whether the conference will fill to capacity. In case it does, seating for unpaid registrants will be first-come first-served.  We will offer live streaming and on Saturday, possibly an overflow space.

For those who wish to guarantee admission, we are offering the option of paid registration for a fee of $100 ($50 for students). Paid registration carries the sole benefit of guaranteeing a seat at each session of the conference (if you arrive on time for that session; reserved seats may be given away for the session otherwise). Follow relevant links at ( to buy paid registration.


On Friday October 14, the conference will be held at the Eisner and Lubin Auditorium in the NYU Kimmel Center (60 Washington Square South).  On Saturday October 15, the conference will be held at the NYU Cantor Film Center (36 E 8th St).  Sessions will run from about 9:30am to 6pm on both days, with registration beforehand and a reception from 6-7pm Friday.  We do not yet have a full program, but we expect that Friday will be devoted especially to relatively short-term issues and Saturday to relatively long-term issues.


We have set aside two or three 20-minute speaking slots at the conference for submitted papers. Submissions should be emailed to [email protected] with subject line “Submission: Ethics of AI” by September 14. Submissions should include an abstract of up to 500 words; a full paper is optional. Decisions will be communicated by September 21. Note that submissions should be on the topic of ethics of artificial intelligence (including especially the questions outlined above), and should substantively engage with both ethics and AI.

Inquiries to: [email protected]

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October 12, 2016, 5:00am EST

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Université de Montréal
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