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

7. Human rights alignment

Ensure that the design, development and implementation of technologies do not infringe internationally recognised human rights.

Principle: A compilation of existing AI ethical principles (Annex A), Jan 21, 2020

Published by Personal Data Protection Commission (PDPC), Singapore

Related Principles

Human centred values

Throughout their lifecycle, AI systems should respect human rights, diversity, and the autonomy of individuals. This principle aims to ensure that AI systems are aligned with human values. Machines should serve humans, and not the other way around. AI systems should enable an equitable and democratic society by respecting, protecting and promoting human rights, enabling diversity, respecting human freedom and the autonomy of individuals, and protecting the environment. Human rights risks need to be carefully considered, as AI systems can equally enable and hamper such fundamental rights. It’s permissible to interfere with certain human rights where it’s reasonable, necessary and proportionate. All people interacting with AI systems should be able to keep full and effective control over themselves. AI systems should not undermine the democratic process, and should not undertake actions that threaten individual autonomy, like deception, unfair manipulation, unjustified surveillance, and failing to maintain alignment between a disclosed purpose and true action. AI systems should be designed to augment, complement and empower human cognitive, social and cultural skills. Organisations designing, developing, deploying or operating AI systems should ideally hire staff from diverse backgrounds, cultures and disciplines to ensure a wide range of perspectives, and to minimise the risk of missing important considerations only noticeable by some stakeholders.

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

(c) Responsibility

The principle of responsibility must be fundamental to AI research and application. ‘Autonomous’ systems should only be developed and used in ways that serve the global social and environmental good, as determined by outcomes of deliberative democratic processes. This implies that they should be designed so that their effects align with a plurality of fundamental human values and rights. As the potential misuse of ‘autonomous’ technologies poses a major challenge, risk awareness and a precautionary approach are crucial. Applications of AI and robotics should not pose unacceptable risks of harm to human beings, and not compromise human freedom and autonomy by illegitimately and surreptitiously reducing options for and knowledge of citizens. They should be geared instead in their development and use towards augmenting access to knowledge and access to opportunities for individuals. Research, design and development of AI, robotics and ‘autonomous’ systems should be guided by an authentic concern for research ethics, social accountability of developers, and global academic cooperation to protect fundamental rights and values and aim at designing technologies that support these, and not detract from them.

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

1. Principle 1 — Human Rights

Issue: How can we ensure that A IS do not infringe upon human rights? [Candidate Recommendations] To best honor human rights, society must assure the safety and security of A IS so that they are designed and operated in a way that benefits humans: 1. 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. 2. A way to translate existing and forthcoming legal obligations into informed policy and technical considerations is needed. Such a method should allow for differing cultural norms as well as legal and regulatory frameworks. 3. For the foreseeable future, A IS should not be granted rights and privileges equal to human rights: A IS should always be subordinate to human judgment and control.

Published by The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems in Ethically Aligned Design (v2): General Principles, (v1) Dec 13, 2016. (v2) Dec 12, 2017

· 1.1 Responsible Design and Deployment

We recognize our responsibility to integrate principles into the design of AI technologies, beyond compliance with existing laws. While the potential benefits to people and society are amazing, AI researchers, subject matter experts, and stakeholders should and do spend a great deal of time working to ensure the responsible design and deployment of AI systems. Highly autonomous AI systems must be designed consistent with international conventions that preserve human dignity, rights, and freedoms. 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) in AI Policy Principles, Oct 24, 2017

2. Fairness and Justice

The development of AI should promote fairness and justice, protect the rights and interests of all stakeholders, and promote equal opportunities. Through technology advancement and management improvement, prejudices and discriminations should be eliminated as much as possible in the process of data acquisition, algorithm design, technology development, and product development and application.

Published by National Governance Committee for the New Generation Artificial Intelligence, China in Governance Principles for the New Generation Artificial Intelligence--Developing Responsible Artificial Intelligence, Jun 17, 2019