AI systems should have algorithmic accountability.
Principle: Microsoft AI Principles, Jan 17, 2018 (unconfirmed)

Published by Microsoft

Related Principles

(i) Accountability:

Arrangements should be developed that will make possible to attribute accountability for AI driven decisions and the behaviour of AI systems.

Published by The Extended Working Group on Ethics of Artificial Intelligence (AI) of the World Commission on the Ethics of Scientific Knowledge and Technology (COMEST), UNESCO in Suggested generic principles for the development, implementation and use of AI, Mar 21, 2019

• Require Accountability for Ethical Design and Implementation

The social implications of computing have grown and will continue to expand as more people have access to implementations of AI. Public policy should work to identify and mitigate discrimination caused by the use of AI and encourage designing in protections against these harms. [Recommendations] • Standing for “Accountable Artificial Intelligence”: Governments, industry and academia should apply the Information Accountability Foundation’s principles to AI. Organizations implementing AI solutions should be able to demonstrate to regulators that they have the right processes, policies and resources in place to meet those principles. • Transparent decisions: Governments should determine which AI implementations require algorithm explainability to mitigate discrimination and harm to individuals.

Published by Intel in AI public policy principles, Oct 18, 2017


AI systems should be understandable.

Published by Microsoft in Microsoft AI Principles, Jan 17, 2018 (unconfirmed)

· 1) Accountability:

Artificial intelligence should be auditable and traceable. We are committed to confirming test standards, deployment processes and specifications, ensuring algorithms verifiable, and gradually improving the accountability and supervision mechanism of artificial intelligence systems.

Published by Youth Work Committee of Shanghai Computer Society in Chinese Young Scientists’ Declaration on the Governance and Innovation of Artificial Intelligence, Aug 29, 2019