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Principles for Trust and Transparency

Principle: Principles for Trust and Transparency, May 30, 2018

Published by IBM

Related Principles

We should put ethics first. We should establish and improve ethical principles, norms, and accountability mechanisms for AI, formulate AI ethical guidelines, and build sci tech ethical review and regulatory system. We should clarify responsibilities and power boundaries for entities related to AI, fully respect and safeguard the legitimate rights and interests of various groups, and address domestic and international ethical concerns in a timely manner.

Published by Cyberspace Administration of China in Global AI Governance Initiative, October 18, 2023

Principles for Accountable Algorithms

Published by Fairness, Accountability, and Transparency in Machine Learning (FAT/ML) in Principles for Accountable Algorithms, Jul 22, 2016 (unconfirmed)

Principles for the Governance of AI

Published by The Future Society, Science, Law and Society (SLS) Initiative in Principles for the Governance of AI, Oct 3, 2017 (unconfirmed)

Principles for Algorithmic Transparency and Accountability

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

Key ethical principles for use of artificial intelligence for health

Published by World Health Organization (WHO) in Key ethical principles for use of artificial intelligence for health, Jun 28, 2021

Contact

Institute of Automation, Chinese Academy of Sciences
95 Zhongguancun East Road,
Haidian District, Beijing,
China 100190
Principal Investigator - Yi Zeng
contact@long-term-ai.cn

Contributors: Cunqing Huangfu, Enmeng Lu, Zizhe Ruan et al.

Copyright © 2018-
Brain-inspired Cognitive Intelligence Lab, Institute of Automation, Chinese Academy of Sciences
International Research Center for AI Ethics and Governance, Institute of Automation, Chinese Academy of Sciences
All Rights Reserved