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

Understanding the social and ethical implications of a field as complex as AI will only be possible through world class scientific research and the inclusion of many voices. DeepMind Ethics & Society is governed by five Principles that seek to guarantee the rigour, transparency and social accountability of its work.

Published by DeepMind in DeepMind Ethics & Society Principles, Oct 3, 2017 (unconfirmed)

Principle: AI system designers and builders need to apply a user centric approach to the technology. They need to consider their collective responsibility in building AI systems that will not pose security risks to the Internet and Internet users. Recommendations: Adopt ethical standards: Adherence to the principles and standards of ethical considerations in the design of artificial intelligence, should guide researchers and industry going forward. Promote ethical considerations in innovation policies: Innovation policies should require adherence to ethical standards as a pre requisite for things like funding.

Published by Internet Society, "Artificial Intelligence and Machine Learning: Policy Paper" in Guiding Principles and Recommendations, Apr 18, 2017

Organizations should have internal processes to self regulate the misuse of A.I. Have a chief ethics officer, ethics board, etc.

Published by New Work Summit, hosted by The New York Times in Seeking Ground Rules for A.I.: The Recommendations, Mar 1, 2019

Artificial intelligence should comply with human values and interests. We are dedicated to stipulating widely accepted ethics of artificial intelligence, proposing ethical algorithms and technical framework of product design in order to foreground the fundamental principles of inference and decision making.

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