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

A. Lawfulness:

AI applications will be developed and used in accordance with national and international law, including international humanitarian law and human rights law, as applicable.

Principle: NATO Principles of Responsible Use of Artificial Intelligence in Defence, Oct 22, 2021

Published by The North Atlantic Treaty Organization (NATO)

Related Principles

(a) Human rights:

AI should be developed and implemented in accordance with international human rights standards.

Published by The Extended Working Group on Ethics of Artificial Intelligence (AI) of the World Commission on the Ethics of Scientific Knowledge and Technology (COMEST), UNESCO in Suggested generic principles for the development, implementation and use of AI, Mar 21, 2019

(f) Rule of law and accountability

Rule of law, access to justice and the right to redress and a fair trial provide the necessary framework for ensuring the observance of human rights standards and potential AI specific regulations. This includes protections against risks stemming from ‘autonomous’ systems that could infringe human rights, such as safety and privacy. The whole range of legal challenges arising in the field should be addressed with timely investment in the development of robust solutions that provide a fair and clear allocation of responsibilities and efficient mechanisms of binding law. In this regard, governments and international organisations ought to increase their efforts in clarifying with whom liabilities lie for damages caused by undesired behaviour of ‘autonomous’ systems. Moreover, effective harm mitigation systems should be in place.

Published by European Group on Ethics in Science and New Technologies, European Commission in Ethical principles and democratic prerequisites, Mar 9, 2018

Fifth, the principle of the rule of law.

The application of AI technology should conform to the purposes of the UN Charter and the basic principles of modern international law such as sovereign equality of states, peaceful settlement of disputes, prohibition of the use of force and non interference in internal affairs of other states;

Published by Center for International Strategy and Security, Tsinghua University (Tsinghua CISS) in Six AI Principles proposed by Mme Fu Ying, Jan 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

· Multi stakeholder and adaptive governance and collaboration

46. International law and national sovereignty must be respected in the use of data. That means that States, complying with international law, can regulate the data generated within or passing through their territories, and take measures towards effective regulation of data, including data protection, based on respect for the right to privacy in accordance with international law and other human rights norms and standards. 47. Participation of different stakeholders throughout the AI system life cycle is necessary for inclusive approaches to AI governance, enabling the benefits to be shared by all, and to contribute to sustainable development. Stakeholders include but are not limited to governments, intergovernmental organizations, the technical community, civil society, researchers and academia, media, education, policy makers, private sector companies, human rights institutions and equality bodies, anti discrimination monitoring bodies, and groups for youth and children. The adoption of open standards and interoperability to facilitate collaboration should be in place. Measures should be adopted to take into account shifts in technologies, the emergence of new groups of stakeholders, and to allow for meaningful participation by marginalized groups, communities and individuals and, where relevant, in the case of Indigenous Peoples, respect for the self governance of their data.

Published by The United Nations Educational, Scientific and Cultural Organization (UNESCO) in The Recommendation on the Ethics of Artificial Intelligence, Nov 24, 2021