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

· Article 6: Transparent and explainable.

...Regarding system decision making processes, data structures, and the intent of system developers and technological implementers: be capable of accurate description, monitoring, and reproduction; and realize explainability, predictability, traceability, and verifiability for algorithmic logic, system decisions, and action outcomes....

Published by Artificial Intelligence Industry Alliance (AIIA), China

· Be Ethical

...This may include, but not limited to: making the system as fair as possible, reducing possible discrimination and biases, improving its transparency, explainability and predictability, and making the system more traceable, auditable and accountable....

Published by Beijing Academy of Artificial Intelligence (BAAI); Peking University; Tsinghua University; Institute of Automation, Chinese Academy of Sciences; Institute of Computing Technology, Chinese Academy of Sciences; Artifical Intelligence Industry Innovation Strategy Alliance (AITISA); etc.

(b) Autonomy

...This also involves the transparency and predictability of ‘autonomous’ systems, without which users would not be able to intervene or terminate them if they would consider this morally required....

Published by European Group on Ethics in Science and New Technologies, European Commission

· 1.1 Responsible Design and Deployment

...As an industry, it is our responsibility to recognize potentials for use and misuse, the implications of such actions, and the responsibility and opportunity to take steps to avoid the reasonably predictable misuse of this technology by committing to ethics by design....

Published by Information Technology Industry Council (ITI)

Ensuring Accountability

...Ensure legal certainty: Governments should ensure legal certainty on how existing laws and policies apply to algorithmic decision making and the use of autonomous systems to ensure a predictable legal environment....

Published by Internet Society, "Artificial Intelligence and Machine Learning: Policy Paper"

7. Responsibility

...How should we react when faced with AI’s predictable consequences on the labour market?...

Published by University of Montreal, Forum on the Socially Responsible Development of AI

Chapter 3. The Norms of Research and Development

...In the phases of algorithm design, implementation, and application, etc., improve transparency, interpretability, understandability, reliability, and controllability, enhance the resilience, adaptability, and the ability of anti interference of AI systems, and gradually realize verifiable, auditable, supervisable, traceable, predictable and trustworthy AI....

Published by National Governance Committee for the New Generation Artificial Intelligence, China

3. Scientific Integrity and Information Quality

...Agencies should also be mindful that, for AI applications to produce predictable, reliable, and optimized outcomes, data used to train the AI system must be of sufficient quality for the intended use....

Published by The White House Office of Science and Technology Policy (OSTP), United States

10. Interagency Coordination

...Agencies should coordinate with each other to share experiences and to ensure consistency and predictability of AI related policies that advance American innovation and growth in AI, while appropriately protecting privacy, civil liberties, and American values and allowing for sector and application specific approaches when appropriate....