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

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.

Principle: The Eight Principles of Responsible AI, May 23, 2019

Published by International Technology Law Association (ITechLaw)

Related Principles

6. Accountability and Integrity

There needs to be human accountability and control in the design, development, and deployment of AI systems. Deployers should be accountable for decisions made by AI systems and for the compliance with applicable laws and respect for AI ethics and principles. AI actors9 should act with integrity throughout the AI system lifecycle when designing, developing, and deploying AI systems. Deployers of AI systems should ensure the proper functioning of AI systems and its compliance with applicable laws, internal AI governance policies and ethical principles. In the event of a malfunction or misuse of the AI system that results in negative outcomes, responsible individuals should act with integrity and implement mitigating actions to prevent similar incidents from happening in the future. To facilitate the allocation of responsibilities, organisations should adopt clear reporting structures for internal governance, setting out clearly the different kinds of roles and responsibilities for those involved in the AI system lifecycle. AI systems should also be designed, developed, and deployed with integrity – any errors or unethical outcomes should at minimum be documented and corrected to prevent harm to users upon deployment

Published by ASEAN in ASEAN Guide on AI Governance and Ethics, 2024

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

1 Ethical Purpose and Societal Benefit

Organisations that develop, deploy or use AI systems and any national laws that regulate such use should require the purposes of such implementation to be identified and ensure that such purposes are consistent with the overall ethical purposes of beneficence and non maleficence, as well as the other principles of the Policy Framework for Responsible AI.

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

3 Transparency and Explainability

Organisations that develop, deploy or use AI systems and any national laws that regulate such use shall ensure that, to the extent reasonable given the circumstances and state of the art of the technology, such use is transparent and that the decision outcomes of the AI system are explainable.

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

Preamble: Our intent for the ethical use of AI in Defence

The MOD is committed to developing and deploying AI enabled systems responsibly, in ways that build trust and consensus, setting international standards for the ethical use of AI for Defence. The MOD will develop and deploy AI enabled systems for purposes that are demonstrably beneficial: driving operational improvements, supporting the Defence Purpose, and upholding human rights and democratic values. The MOD’s existing obligations under UK law and international law, including as applicable international humanitarian law (IHL) and international human rights law, act as a foundation for Defence’s development, deployment and operation of AI enabled systems. These ethical principles do not affect or supersede existing legal obligations. Instead, they set out an ethical framework which will guide Defence’s approach to adopting AI, in line with rigorous existing codes of conduct and regulations. These principles are applicable across the full spectrum of use cases for AI in Defence, from battlespace to back office, and across the entire lifecycle of these systems.

Published by The Ministry of Defence (MOD), United Kingdom in Ethical Principles for AI in Defence, Jun 15, 2022