· 1.2. Human centred values and fairness

a) AI actors should respect the rule of law, human rights and democratic values, throughout the AI system lifecycle. These include freedom, dignity and autonomy, privacy and data protection, non discrimination and equality, diversity, fairness, social justice, and internationally recognised labour rights. b) To this end, AI actors should implement mechanisms and safeguards, such as capacity for human determination, that are appropriate to the context and consistent with the state of art.
Principle: OECD Principles on Artificial Intelligence, May 22, 2019

Published by The Organisation for Economic Co-operation and Development (OECD)

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

· 1.2. Human centered values and fairness

a) AI actors should respect the rule of law, human rights and democratic values, throughout the AI system lifecycle. These include freedom, dignity and autonomy, privacy and data protection, non discrimination and equality, diversity, fairness, social justice, and internationally recognized labor rights. b) To this end, AI actors should implement mechanisms and safeguards, such as capacity for human determination, that are appropriate to the context and consistent with the state of art.

Published by G20 Ministerial Meeting on Trade and Digital Economy in G20 AI Principles, Jun 09, 2019

Chapter 1. General Principles

  1. This set of norms aims to integrate ethics into the entire life cycle of AI, to promote fairness, justice, harmony, safety and security, and to avoid issues such as prejudice, discrimination, privacy and information leakage.   2. This set of norms applies to natural persons, legal persons, and other related organizations engaged in related activities such as management, research and development, supply, and use of AI. (1) The management activities mainly refer to strategic planning, formulation and implementation of policies, laws, regulations, and technical standards, resource allocation, supervision and inspection, etc. (2) The research and development activities mainly refer to scientific research, technology development, product development, etc. related to AI. (3) The supply activities mainly refer to the production, operation, and sales of AI products and services. (4) The use activities mainly refer to the procurement, consumption, and manipulation of AI products and services.   3. Various activities of AI shall abide by the following fundamental ethical norms. (1) Enhancing the well being of humankind. Adhere to the people oriented vision, abide by the common values of humankind, respect human rights and the fundamental interests of humankind, and abide by national and regional ethical norms. Adhere to the priority of public interests, promote human machine harmony, improve people’s livelihood, enhance the sense of happiness, promote the sustainable development of economy, society and ecology, and jointly build a human community with a shared future. (2) Promoting fairness and justice. Adhere to shared benefits and inclusivity, effectively protect the legitimate rights and interests of all relevant stakeholders, promote fair sharing of the benefits of AI in the whole society, and promote social fairness and justice, and equal opportunities. When providing AI products and services, we should fully respect and help vulnerable groups and underrepresented groups, and provide corresponding alternatives as needed. (3) Protecting privacy and security. Fully respect the rights of personal information, to know, and to consent, etc., handle personal information, protect personal privacy and data security in accordance with the principles of lawfulness, justifiability, necessity, and integrity, do no harm to the legitimate rights of personal data, must not illegally collect and use personal information by stealing, tampering, or leaking, etc., and must not infringe on the rights of personal privacy. (4) Ensuring controllability and trustworthiness. Ensure that humans have the full power for decision making, the rights to choose whether to accept the services provided by AI, the rights to withdraw from the interaction with AI at any time, and the rights to suspend the operation of AI systems at any time, and ensure that AI is always under meaningful human control. (5) Strengthening accountability. Adhere that human beings are the ultimate liable subjects. Clarify the responsibilities of all relevant stakeholders, comprehensively enhance the awareness of responsibility, introspect and self discipline in the entire life cycle of AI. Establish an accountability mechanism in AI related activities, and do not evade liability reviews and do not escape from responsibilities. (6) Improving ethical literacy. Actively learn and popularize knowledge related to AI ethics, objectively understand ethical issues, and do not underestimate or exaggerate ethical risks. Actively carry out or participate in the discussions on the ethical issues of AI, deeply promote the practice of AI ethics and governance, and improve the ability to respond to related issues.   4. The ethical norms that should be followed in specific activities related to AI include the norms of management, the norms of research and development, the norms of supply, and the norms of use.

Published by National Governance Committee for the New Generation Artificial Intelligence, China in Ethical Norms for the New Generation Artificial Intelligence, Sep 25, 2021

1. AI shall not impair, and, where possible, shall advance the equality in rights, dignity, and freedom to flourish of all humans.

Accordingly, the purpose of governing artificial intelligence is to develop policy frameworks, voluntary codes or practice, practical guidelines, national and international regulations, and ethical norms that safeguard and promote the equality in rights, dignity, and freedom to flourish of all humans.

Published by The Future Society, Science, Law and Society (SLS) Initiative in Principles for the Governance of AI, Oct 3, 2017 (unconfirmed)

3. Make AI Serve People and Planet

This includes codes of ethics for the development, application and use of AI so that throughout their entire operational process, AI systems remain compatible and increase the principles of human dignity, integrity, freedom, privacy and cultural and gender diversity, as well as with fundamental human rights. In addition, AI systems must protect and even improve our planet’s ecosystems and biodiversity.

Published by UNI Global Union in Top 10 Principles For Ethical Artificial Intelligence, Dec 11, 2017