AI stakeholders should retain an appropriate level of human oversight of AI systems and their outputs. Technologies capable of harming individuals or groups should not be deployed until stakeholders have determined appropriate accountability and liability.

Published by the Law, Society and Ethics Working Group of the AI Forum，New Zealand in Trustworthy AI in Aotearoa: The AI Principles, Mar 4, 2020

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

AI systems should be understandable.

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

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

Published by ACM US Public Policy Council (USACM) in Principles for Algorithmic Transparency and Accountability, Jan 12, 2017