Linking Artificial Intelligence Principles (LAIP)

(Preamble)

...Establish a correct view of artificial intelligence development; clarify the basic principles and operational guides for the development and use of artificial intelligence; help to build an inclusive and shared, fair and orderly development environment; and form a sustainable development model that is safe secure, trustworthy, rational, and responsible....

Published by Artificial Intelligence Industry Alliance (AIIA), China

· Article 3: Fair and just.

...· Article 3: fair and just....

Published by Artificial Intelligence Industry Alliance (AIIA), China

· Article 3: Fair and just.

...The development of artificial intelligence should ensure fairness and justice, avoid bias or discrimination against specific groups or individuals, and avoid placing disadvantaged people in an even more unfavorable position....

Published by Artificial Intelligence Industry Alliance (AIIA), China

Human centred values

...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....

Published by Department of Industry, Innovation and Science, Australian Government

Fairness

... fairness...

Published by Department of Industry, Innovation and Science, Australian Government

Fairness

...Throughout their lifecycle, AI systems should be inclusive and accessible, and should not involve or result in unfair discrimination against individuals, communities or groups....

Published by Department of Industry, Innovation and Science, Australian Government

Fairness

...This principle aims to ensure that AI systems are fair and that they enable inclusion throughout their entire lifecycle....

Published by Department of Industry, Innovation and Science, Australian Government

Published by Beijing Academy of Artificial Intelligence (BAAI); Peking University; Tsinghua University; Institute of Automation, Chinese Academy of Sciences; Institute of Computing Technology, Chinese Academy of Sciences; Artifical Intelligence Industry Innovation Strategy Alliance (AITISA); etc.

· Fairness and inclusion

...· fairness and inclusion...

Published by Centre for International Governance Innovation (CIGI), Canada

· (2) Education

...Literacy education provides the following contents: 1) Data used by AI are usually contaminated by bias, 2) AI is easy to generate unwanted bias in its use, and 3) The issues of impartiality, fairness, and privacy protection which are inherent to actual use of AI....

Published by Cabinet Office, Government of Japan

· (5) Fair Competition

...· (5) fair Competition...

Published by Cabinet Office, Government of Japan

· (5) Fair Competition

...A fair competitive environment must be maintained to create new businesses and services, to keep economic growth sustainable, and to solve social issues....

Published by Cabinet Office, Government of Japan

· (5) Fair Competition

... There must not be unreasonable data collection or unfair competition under a dominant position of a particular company by concentrating AI resources....

Published by Cabinet Office, Government of Japan

· (6) Fairness, Accountability, and Transparency

...· (6) fairness, Accountability, and Transparency...

Published by Cabinet Office, Government of Japan

· (6) Fairness, Accountability, and Transparency

... Under the "AI Ready society", when using AI, fair and transparent decision making and accountability for the results should be appropriately ensured, and trust in technology should be secured, in order that people using AI will not be discriminated on the ground of the person's background or treated unjustly in light of human dignity....

Published by Cabinet Office, Government of Japan

Social benefit

...We believe AI should be developed in ways that serve the global social and environmental good, helping to build fairer and more equal societies....

Published by DeepMind

6. We set the framework.

...They are transparent, auditable, fair, and fully documented....

Published by Deutsche Telekom

V. Diversity, non discrimination and fairness

... V. Diversity, non discrimination and fairness...

Published by European Commission

V. Diversity, non discrimination and fairness

...Harm can also result from the intentional exploitation of (consumer) biases or by engaging in unfair competition....

Published by European Commission

(d) Justice, equity, and solidarity

...We need a concerted global effort towards equal access to ‘autonomous’ technologies and fair distribution of benefits and equal opportunities across and within societies....

Published by European Group on Ethics in Science and New Technologies, European Commission

(d) Justice, equity, and solidarity

...This includes the formulating of new models of fair distribution and benefit sharing apt to respond to the economic transformations caused by automation, digitalisation and AI, ensuring accessibility to core AI technologies, and facilitating training in STEM and digital disciplines, particularly with respect to disadvantaged regions and societal groups....

Published by European Group on Ethics in Science and New Technologies, European Commission

(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....

Published by European Group on Ethics in Science and New Technologies, European Commission

(f) Rule of law and accountability

...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....

Published by European Group on Ethics in Science and New Technologies, European Commission

Fairness

... fairness...

Published by Fairness, Accountability, and Transparency in Machine Learning (FAT/ML)

· 2) Research Funding

... How can we update our legal systems to be more fair and efficient, to keep pace with AI, and to manage the risks associated with AI?...

Published by Future of Life Institute (FLI), Beneficial AI 2017

· 1.2. Human centered values and fairness

...Human centered values and fairness...

Published by G20 Ministerial Meeting on Trade and Digital Economy

· 1.2. Human centered values and fairness

...These include freedom, dignity and autonomy, privacy and data protection, non discrimination and equality, diversity, fairness, social justice, and internationally recognized labor rights....

Published by G20 Ministerial Meeting on Trade and Digital Economy

· 2.2. Fostering a digital ecosystem for AI

...In this regard, governments should consider promoting mechanisms, such as data trusts, to support the safe, fair, legal and ethical sharing of data....

Published by G20 Ministerial Meeting on Trade and Digital Economy

· 2.4. Building human capacity and preparing for labor market transformation

...b) Governments should take steps, including through social dialogue, to ensure a fair transition for workers as AI is deployed, such as through training programs along the working life, support for those affected by displacement, and access to new opportunities in the labor market....

Published by G20 Ministerial Meeting on Trade and Digital Economy

· 2. Avoid creating or reinforcing unfair bias.

...Avoid creating or reinforcing unfair bias....

Published by Google

· 2. Avoid creating or reinforcing unfair bias.

...AI algorithms and datasets can reflect, reinforce, or reduce unfair biases....

Published by Google

· 2. Avoid creating or reinforcing unfair bias.

...We recognize that distinguishing fair from unfair biases is not always simple, and differs across cultures and societies....

Published by Google

· 2. Avoid creating or reinforcing unfair bias.

...We recognize that distinguishing fair from unfair biases is not always simple, and differs across cultures and societies....

Published by Google

· 1. The Principle of Beneficence: “Do Good”

...At the same time, beneficent AI systems can contribute to wellbeing by seeking achievement of a fair, inclusive and peaceful society, by helping to increase citizen’s mental autonomy, with equal distribution of economic, social and political opportunity....

Published by The European Commission’s High-Level Expert Group on Artificial Intelligence

· 4. The Principle of Justice: “Be Fair”

...The Principle of Justice: “Be fair”...

Published by The European Commission’s High-Level Expert Group on Artificial Intelligence

· 4. The Principle of Justice: “Be Fair”

...For the purposes of these Guidelines, the principle of justice imparts that the development, use, and regulation of AI systems must be fair....

Published by The European Commission’s High-Level Expert Group on Artificial Intelligence

· 5. Non Discrimination

...Those in control of algorithms may intentionally try to achieve unfair, discriminatory, or biased outcomes in order to exclude certain groups of persons....

Published by The European Commission’s High-Level Expert Group on Artificial Intelligence

· 5. Non Discrimination

...Harm may also result from exploitation of consumer biases or unfair competition, such as homogenisation of prices by means of collusion or non transparent market....

Published by The European Commission’s High-Level Expert Group on Artificial Intelligence

· 6. Respect for (& Enhancement of) Human Autonomy

...AI systems should be designed not only to uphold rights, values and principles, but also to protect citizens in all their diversity from governmental and private abuses made possible by AI technology, ensuring a fair distribution of the benefits created by AI technologies, protect and enhance a plurality of human values, and enhance self determination and autonomy of individual users and communities....

Published by The European Commission’s High-Level Expert Group on Artificial Intelligence

2. Artificial intelligence should operate on principles of intelligibility and fairness.

...Artificial intelligence should operate on principles of intelligibility and fairness....

Published by House of Lords, Select Committee on Artificial Intelligence

3. Artificial intelligence should not be used to diminish the data rights or privacy of individuals, families or communities.

...The ways in which data is gathered and accessed need to be reconsidered, so that innovative companies, big and small, have fair and reasonable access to data, while citizens and consumers can also protect their privacy and personal agency in this changing world....

Published by House of Lords, Select Committee on Artificial Intelligence

8. Avoid biases and unfair impacts on people, particularly those related to sensitive characteristics such as race, ethnicity, gender, nationality, income, sexual orientation, ability and political or religious beliefs.

...Avoid biases and unfair impacts on people, particularly those related to sensitive characteristics such as race, ethnicity, gender, nationality, income, sexual orientation, ability and political or religious beliefs....

Published by IA Latam

A Accuracy

...They need to be free from biases and systematic errors deriving, for example, from an unfair sampling of a population, or from an estimation process that does not give accurate results....

Published by Institute of Business Ethics (IBE)

F Fairness

... F fairness...

Published by Institute of Business Ethics (IBE)

F Fairness

...fairness and justice, which are core issues in the stakeholder theory, remain paramount for ethical businesses when dealing with AI....

Published by Institute of Business Ethics (IBE)

2. Data and insights belong to their creator

...We believe that government data policies should be fair and equitable and prioritize openness....

Published by IBM

4. Fairness:

...fairness:...

Published by IBM

1. Artificial intelligence and machine learning technologies should be designed, developed and used in respect of fundamental human rights and in accordance with the fairness principle, in particular by:

...Artificial intelligence and machine learning technologies should be designed, developed and used in respect of fundamental human rights and in accordance with the fairness principle, in particular by:...

Published by 40th International Conference of Data Protection and Privacy Commissioners (ICDPPC)

4. As part of an overall “ethics by design” approach, artificial intelligence systems should be designed and developed responsibly, by applying the principles of privacy by default and privacy by design, in particular by:

...c. identifying specific requirements for ethical and fair use of the systems and for respecting human rights as part of the development and operations of any artificial intelligence system,...

Published by 40th International Conference of Data Protection and Privacy Commissioners (ICDPPC)

4 Fairness and Non discrimination

... 4 fairness and Non discrimination...

Published by International Technology Law Association (ITechLaw)

4 Fairness and Non discrimination

...Organisations that develop, deploy or use AI systems and any national laws that regulate such use shall ensure the non discrimination of AI outcomes, and shall promote appropriate and effective measures to safeguard fairness in AI use....

Published by International Technology Law Association (ITechLaw)

6 Open Data and Fair Competition

... 6 Open Data and fair Competition...

Published by International Technology Law Association (ITechLaw)

• Rethink Privacy

...Privacy approaches like The fair Information Practice Principles and Privacy by Design have withstood the test of time and the evolution of new technology....

Published by Intel

• Rethink Privacy

...• Adopt Robust Privacy Laws: Based on the OECD fair Information Practice Principles....

Published by Intel

4. Fairness

...fairness...

Published by The Japanese Society for Artificial Intelligence (JSAI)

4. Fairness

...Members of the JSAI will always be fair....

Published by The Japanese Society for Artificial Intelligence (JSAI)

4. Fairness

...Members of the JSAI will, to the best of their ability, ensure that AI is developed as a resource that can be used by humanity in a fair and equal manner....

Published by The Japanese Society for Artificial Intelligence (JSAI)

1. Principle of collaboration

...• To make efforts to promote open and fair treatment of license agreements for and their conditions of intellectual property rights, such as standard essential patents, contributing to ensuring the interconnectivity and interoperability between AI systems and other AI systems, etc., while taking into consideration the balance between the protection and the utilization with respect to intellectual property related to the development of AI....

Published by Ministry of Internal Affairs and Communications (MIC), the Government of Japan

7. Principle of ethics

...It is also encouraged that, to the extent possible in light of the characteristics of the technologies to be adopted, developers make efforts to take necessary measures so as not to cause unfair discrimination resulting from prejudice included in the learning data of the AI systems....

Published by Ministry of Internal Affairs and Communications (MIC), the Government of Japan

8. Principle of fairness

...Principle of fairness...

Published by Ministry of Internal Affairs and Communications (MIC), the Government of Japan

8. Principle of fairness

...B) Attention to unfair discrimination by algorithm...

Published by Ministry of Internal Affairs and Communications (MIC), the Government of Japan

4. Fairness and diversity

...fairness and diversity...

Published by Megvii

Fairness

... fairness...

Published by Microsoft

2. Fairness and Justice

...fairness and Justice...

Published by National Governance Committee for the New Generation Artificial Intelligence, China

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....

Published by National Governance Committee for the New Generation Artificial Intelligence, China

3. Inclusion and Sharing

...AI should promote green development to meet the requirements of environmental friendliness and resource conservation; AI should promote coordinated development by promoting the transformation and upgrading of all industries, and by narrowing regional disparities; AI should promote inclusive development through better education and training, support to the vulnerable groups to adapt, and efforts to eliminate digital divide; AI should promote shared development by avoiding data and platform monopolies, and promoting open and fair competition....

Published by National Governance Committee for the New Generation Artificial Intelligence, China

· 1.2. Human centred values and fairness

...Human centred values and fairness...

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

· 1.2. Human centred values and fairness

...These include freedom, dignity and autonomy, privacy and data protection, non discrimination and equality, diversity, fairness, social justice, and internationally recognised labour rights....

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

· 2.2. Fostering a digital ecosystem for AI

...In this regard, governments should consider promoting mechanisms, such as data trusts, to support the safe, fair, legal and ethical sharing of data....

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

· 2.4. Building human capacity and preparing for labor market transformation

...b) Governments should take steps, including through social dialogue, to ensure a fair transition for workers as AI is deployed, such as through training programs along the working life, support for those affected by displacement, and access to new opportunities in the labor market....

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

a. Organisations using AI in decision making should ensure that the decision making process is explainable, transparent and fair.

... a. Organisations using AI in decision making should ensure that the decision making process is explainable, transparent and fair....

Published by Personal Data Protection Commission (PDPC), Singapore

a. Organisations using AI in decision making should ensure that the decision making process is explainable, transparent and fair.

...Although perfect explainability, transparency and fairness are impossible to attain, organisations should strive to ensure that their use or application of AI is undertaken in a manner that reflects the objectives of these principles as far as possible....

Published by Personal Data Protection Commission (PDPC), Singapore

5. Fairness

...fairness...

Published by Personal Data Protection Commission (PDPC), Singapore

10. Responsibility, accountability and transparency

...Build trust by ensuring that designers and operators are responsible and accountable for their systems, applications and algorithms, and to ensure that such systems, applications and algorithms operate in a transparent and fair manner....

Published by Personal Data Protection Commission (PDPC), Singapore

4. Impartiality:

...do not create or act according to bias, thus safeguarding fairness and human dignity;...

Published by The Pontifical Academy for Life, Microsoft, IBM, FAO, the Italia Government

5. Algorithmic justice

...The development of artificial intelligence should avoid the harm caused to the public by algorithm design, and must clarify the algorithm motive and interpretability to overcome the unfair influence caused by algorithm design and data collection....

Published by Shanghai Advisory Committee of Experts on Artificial Intelligence Industry Security

1. Fairness

...fairness...

Published by Samsung

1. Fairness

...The company will strive not to reinforce nor propagate negative or unfair bias....

Published by Samsung

· 2) Diversity and Fairness:

...· 2) Diversity and fairness:...

Published by Youth Work Committee of Shanghai Computer Society

· 2) Diversity and Fairness:

...Artificial intelligence should provide non discriminatory services to various groups of people in accordance with the principles of fairness, equity and inclusion....

Published by Youth Work Committee of Shanghai Computer Society

· 2) Diversity and Fairness:

...We aim to initiate from the disciplined approach of system engineering, and to construct the AI system with diverse data and unbiased algorithms, thus improving the fairness of user experience....

Published by Youth Work Committee of Shanghai Computer Society

· We will make AI systems fair

...· We will make AI systems fair...

Published by Smart Dubai

· We will make AI systems fair

...Significant decisions should be provably fair...

Published by Smart Dubai

5. Respect for Fairness

...Respect for fairness...

Published by Sony Group

1. Fair AI

...fair AI...

Published by Telefónica

1. Fair AI

...We seek to ensure that the applications of AI technology lead to fair results....

Published by Telefónica

1. Fair AI

...We will apply technology to minimize the likelihood that the training data sets we use create or reinforce unfair bias or discrimination....

Published by Telefónica

4. Privacy and security by design

...When processing personal data, according to Telefónica’s privacy policy, we will at all times comply with the principles of lawfulness, fairness and transparency, data minimisation, accuracy, storage limitation, integrity and confidentiality....

Published by Telefónica

8. Fair and equal

...fair and equal...

Published by Telia Company AB

8. Fair and equal

...We aspire to embed the principles of fairness and equality in datasets and algorithms applied in all phases of AI design, implementation, testing and usage – fostering fairness and diversity and avoiding unfair bias both at the input and output levels of AI....

Published by Telia Company AB

8. Fair and equal

...We aspire to embed the principles of fairness and equality in datasets and algorithms applied in all phases of AI design, implementation, testing and usage – fostering fairness and diversity and avoiding unfair bias both at the input and output levels of AI....

Published by Telia Company AB

8. Fair and equal

...We aspire to embed the principles of fairness and equality in datasets and algorithms applied in all phases of AI design, implementation, testing and usage – fostering fairness and diversity and avoiding unfair bias both at the input and output levels of AI....

Published by Telia Company AB

· Algorithmic fairness