Machine Ethics

Developing and Deploying
Principles and Practices ensuring
Ethical Behavior of Autonomous Systems

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Consensus

Establish cases where there is general agreement as to the ethically preferable action

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Abstraction

Determine ethically relevant features and corresponding duties from consensus cases

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Integration

Synthesize principle from cases that balances duties when they are in conflict

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Deployment

Instantiate principle in system to determine ethically preferable actions

Projects

CPB

2014- / Industrial Robot

GenEth

2012-14 / AAAI

Machine Ethics

2009-11 / Cambridge University Press

MedEthEx

2006 / IAAI

Special Issue on Machine Ethics

2006 / IEEE Intelligent Systems

AAAI Symposium on Machine Ethics

2005 / AAAI Technical Report

Jeremy

2004 / AAAI Workshop

People

Michael Anderson

University of Hartford

Susan Leigh Anderson

University of Connecticut

Vincent Berenz

Max Planck Institute

Thomas Powers

University of Delaware
Center for Science, Ethics & Public Policy

David Luxton

Naval Health Research Center

Anne Chiang

Yale School of Medicine

Brian Andersen

Fair Money

Timothy Becker

University of Hartford

Machine Ethics

www.machineethics.com

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