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

1. Responsible.

Human beings should exercise appropriate levels of judgment and remain responsible for the development, deployment, use, and outcomes of DoD AI systems.

Principle: AI Ethics Principles for DoD, Oct 31, 2019

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

Related Principles

Accountability

Those responsible for the different phases of the AI system lifecycle should be identifiable and accountable for the outcomes of the AI systems, and human oversight of AI systems should be enabled. This principle aims to acknowledge the relevant organisations' and individuals’ responsibility for the outcomes of the AI systems that they design, develop, deploy and operate. The application of legal principles regarding accountability for AI systems is still developing. Mechanisms should be put in place to ensure responsibility and accountability for AI systems and their outcomes. This includes both before and after their design, development, deployment and operation. The organisation and individual accountable for the decision should be identifiable as necessary. They must consider the appropriate level of human control or oversight for the particular AI system or use case. AI systems that have a significant impact on an individual's rights should be accountable to external review, this includes providing timely, accurate, and complete information for the purposes of independent oversight bodies.

Published by Department of Industry, Innovation and Science, Australian Government in AI Ethics Principles, Nov 7, 2019

2 Accountability

Organisations that develop, deploy or use AI systems and any national laws that regulate such use shall respect and adopt the eight principles of this Policy Framework for Responsible AI (or other analogous accountability principles). In all instances, humans should remain accountable for the acts and omissions of AI systems.

Published by International Technology Law Association (ITechLaw) in The Eight Principles of Responsible AI, May 23, 2019

· 2.3 Shaping an enabling policy environment for AI

a) Governments should promote a policy environment that supports an agile transition from the research and development stage to the deployment and operation stage for trustworthy AI systems. To this effect, they should consider using experimentation to provide a controlled environment in which AI systems can be tested, and scaled up, as appropriate. b) Governments should review and adapt, as appropriate, their policy and regulatory frameworks and assessment mechanisms as they apply to AI systems to encourage innovation and competition for trustworthy AI.

Published by The Organisation for Economic Co-operation and Development (OECD) in OECD Principles on Artificial Intelligence, May 22, 2019

· 3. HUMANS ARE ALWAYS RESPONSIBILE FOR THE CONSEQUENCES OF AI SYSTEMS APPLICATION

3.1. Supervision. AI Actors should ensure comprehensive human supervision of any AI system in the scope and order depending on the purpose of this AI system, i.a., for instance, record significant human decisions at all stages of the AI systems’ life cycle or make registration records of the operation of AI systems. AI Actors should also ensure transparency of AI systems use, the opportunity of cancellation by a person and (or) prevention of socially and legally significant decisions and actions of AI systems at any stage of their life cycle where it is reasonably applicable. 3.2. Responsibility. AI Actors should not allow the transfer of the right to responsible moral choice to AI systems or delegate the responsibility for the consequences of decision making to AI systems. A person (an individual or legal entity recognized as the subject of responsibility in accordance with the existing national legislation) must always be responsible for all consequences caused by the operation of AI systems. AI Actors are encouraged to take all measures to determine the responsibility of specific participants in the life cycle of AI systems, taking into account each participant’s role and the specifics of each stage.

Published by AI Alliance Russia in AI Ethics Code (revised version), Oct 21, 2022 (unconfirmed)

1. Responsible

DOD personnel will exercise appropriate levels of judgment and care while remaining responsible for the development, deployment and use of AI capabilities.

Published by Department of Defense (DoD), United States in DoD's AI ethical principles, Feb 24, 2020