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

3. TRANSPARENCY

...The operation and impacts of an AI system should be transparent, traceable, auditable and generally explainable to a degree appropriate to its use and potential risk profile so outcomes can be understood and challenged, particularly where they relate to people....

Published by the Law, Society and Ethics Working Group of the AI Forum，New Zealand

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.

3. Traceable.

...traceable....

Published by Defense Innovation Board (DIB), Department of Defense (DoD), United States

IV. Transparency

...The traceability of AI systems should be ensured; it is important to log and document both the decisions made by the systems, as well as the entire process (including a description of data gathering and labelling, and a description of the algorithm used) that yielded the decisions....

Published by European Commission

· 2. Data Governance

...In large enough data sets these will be diluted since correct actions usually overrun the errors, yet a trace of thereof remains in the data....

Published by The European Commission’s High-Level Expert Group on Artificial Intelligence

1. Principle 1 — Human Rights

...Governance frameworks, including standards and regulatory bodies, should be established to oversee processes assuring that the use of A IS does not infringe upon human rights, freedoms, dignity, and privacy, and of traceability to contribute to the building of public trust in A IS....

Published by The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems

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....

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

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

6. Transparent regulation

...The development of artificial intelligence should avoid the security risks caused by the technology black box, and it is necessary to ensure the unity of target functions and technologies through the establishment of reviewable, traceable, reputable regulatory mechanisms....

Published by Shanghai Advisory Committee of Experts on Artificial Intelligence Industry Security

· 1) Accountability:

...Artificial intelligence should be auditable and traceable....

Published by Youth Work Committee of Shanghai Computer Society

2. AI shall be transparent.

...Transparency is the ability to trace cause and effect in the decision making pathways of algorithms and, in hybrid intelligence systems, of their operators....

Published by The Future Society, Science, Law and Society (SLS) Initiative

Second, the principle of security.

...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)

· Transparency and explainability

...Thus, explainability is closely related to transparency, as outcomes and ub processes leading to outcomes should aim to be understandable and traceable, appropriate to the context....

Published by The United Nations Educational, Scientific and Cultural Organization (UNESCO)

· Responsibility and accountability

...Both technical and institutional designs should ensure auditability and traceability of (the working of) AI systems in particular to address any conflicts with human rights norms and standards and threats to environmental and ecosystem well being....