e. Opposing development and use of AI technologies that would violate international conventions or human rights, and promoting safeguards and technologies that do no harm.

Principle: Partnership on AI: Tenets, Sep 28, 2016 (unconfirmed)

Published by Partnership on AI

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

2. The Principle of Non maleficence: “Do no Harm”

AI systems should not harm human beings. By design, AI systems should protect the dignity, integrity, liberty, privacy, safety, and security of human beings in society and at work. AI systems should not threaten the democratic process, freedom of expression, freedoms of identify, or the possibility to refuse AI services. At the very least, AI systems should not be designed in a way that enhances existing harms or creates new harms for individuals. Harms can be physical, psychological, financial or social. AI specific harms may stem from the treatment of data on individuals (i.e. how it is collected, stored, used, etc.). To avoid harm, data collected and used for training of AI algorithms must be done in a way that avoids discrimination, manipulation, or negative profiling. Of equal importance, AI systems should be developed and implemented in a way that protects societies from ideological polarization and algorithmic determinism. Vulnerable demographics (e.g. children, minorities, disabled persons, elderly persons, or immigrants) should receive greater attention to the prevention of harm, given their unique status in society. Inclusion and diversity are key ingredients for the prevention of harm to ensure suitability of these systems across cultures, genders, ages, life choices, etc. Therefore not only should AI be designed with the impact on various vulnerable demographics in mind but the above mentioned demographics should have a place in the design process (rather through testing, validating, or other). Avoiding harm may also be viewed in terms of harm to the environment and animals, thus the development of environmentally friendly AI may be considered part of the principle of avoiding harm. The Earth’s resources can be valued in and of themselves or as a resource for humans to consume. In either case it is necessary to ensure that the research, development, and use of AI are done with an eye towards environmental awareness.

Published by The European Commission’s High-Level Expert Group on Artificial Intelligence in Draft Ethics Guidelines for Trustworthy AI, Dec 18, 2018

7. Human rights alignment

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

Published by Personal Data Protection Commission (PDPC), Singapore in A compilation of existing AI ethical principles (Annex A), Jan 21, 2020

Be Fair.

Do not knowingly develop AI tools and experiences that interfere with normal, functioning democratic systems of government. This means saying no to product development aimed at the suppression of human rights, as defined by the Universal Declaration of Human Rights, such as the right to free expression.

Published by Unity Technologies in Unity’s Guiding Principles for Ethical AI, Nov 28, 2018