Safe and Ethical AI (SEA) Platform Network · Linking Artificial Intelligence Principles (LAIP)

Transparency

AI systems should be understandable.

Principle: Microsoft AI Principles, Jan 17, 2018 (unconfirmed)

Published by Microsoft

Related Principles

(f) Transparency:

The data used to train AI systems should be transparent.

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

(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

5. Safety and Controllability

The transparency, interpretability, reliability, and controllability of AI systems should be improved continuously to make the systems more traceable, trustworthy, and easier to audit and monitor. AI safety at different levels of the systems should be ensured, AI robustness and anti interference performance should be improved, and AI safety assessment and control capacities should be developed.

Published by National Governance Committee for the New Generation Artificial Intelligence, China in Governance Principles for the New Generation Artificial Intelligence--Developing Responsible Artificial Intelligence, Jun 17, 2019

1. Transparency:

in principle, AI systems must be explainable;

Published by The Pontifical Academy for Life, Microsoft, IBM, FAO, the Italia Government in Rome Call for AI Ethics, Feb 28, 2020

Second, the principle of security.

AI shall not harm human beings. AI systems must be secure, applicable and controllable. Personal privacy should be protected and data breach and abuse prevented. AI algorithms must be traceable and transparent and there should be no algorithm discrimination;

Published by Center for International Strategy and Security, Tsinghua University (Tsinghua CISS) in Six AI Principles proposed by Mme Fu Ying, Jan 23, 2019