· d. Ensuring that AI research and technology is robust, reliable, trustworthy, and operates within secure constraints.

Principle: Partnership on AI: Tenets, Sep 28, 2016 (unconfirmed)

Published by Partnership on AI

Related Principles

2. RELIABILITY, SECURITY AND PRIVACY

AI stakeholders must ensure AI systems and related data are reliable, accurate and secure and the privacy of individuals is protected throughout the AI system’s life cycle, with potential risks identified and managed on an ongoing basis.

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

3. Traceable.

DoD’s AI engineering discipline should be sufficiently advanced such that technical experts possess an appropriate understanding of the technology, development processes, and operational methods of its AI systems, including transparent and auditable methodologies, data sources, and design procedure and documentation.

Published by Defense Innovation Board (DIB), Department of Defense (DoD), United States in AI Ethics Principles for DoD, Oct 31, 2019

· 1) Robustness:

Artificial intelligence should be safe and reliable. We are dedicated to accentuating technical robustness and security throughout the research process, providing a secure and reliable system to improve the ability to prevent attack and conduct self repair.

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