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

· 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

· Article 9: Diversity and inclusivity.

...Continually test and validate algorithms, so that they do not discriminate against users based on race, gender, nationality, age, religious beliefs, etc....

Published by Artificial Intelligence Industry Alliance (AIIA), China

1. Transparency and Explainability

...In the past, AI algorithms have been found to discriminate against female job applicants and have failed to accurately recognise the faces of dark skinned women....

Published by ASEAN

1. FAIRNESS AND JUSTICE

...• Principles of equality and fairness so that AI systems do not unjustly harm, exclude, disempower or discriminate against individuals or particular groups....

Published by the Law, Society and Ethics Working Group of the AI Forum，New Zealand

Fairness and non discrimination.

... Fairness and non discrimination....

Published by OFFICE OF THE CHIEF OF MINISTERS UNDERSECRETARY OF INFORMATION TECHNOLOGIES

Fairness and non discrimination.

...AI actors should promote fairness and non discrimination, diversity and inclusion, ensure social justice, safeguard equity and combat all forms of discrimination, in accordance with international law....

Published by OFFICE OF THE CHIEF OF MINISTERS UNDERSECRETARY OF INFORMATION TECHNOLOGIES

Fairness and non discrimination.

...AI actors should promote fairness and non discrimination, diversity and inclusion, ensure social justice, safeguard equity and combat all forms of discrimination, in accordance with international law....

Published by OFFICE OF THE CHIEF OF MINISTERS UNDERSECRETARY OF INFORMATION TECHNOLOGIES

Fairness and non discrimination.

...AI actors should make all reasonable efforts to minimise and avoid reinforcing or perpetuating discriminatory or biased applications and outcomes throughout the lifecycle of AI systems, in order to ensure the fairness of such systems....

Published by OFFICE OF THE CHIEF OF MINISTERS UNDERSECRETARY OF INFORMATION TECHNOLOGIES

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

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

...The development of AI should treat and serve all children fairly and should not cause discrimination or harm to any child....

Published by Beijing Academy of Artificial Intelligence (BAAI), Peking University, Tsinghua University and the Chinese Academy of Sciences, together with enterprises that focus on AI development.

Fairness Obligation

...The Fairness Obligation recognizes that all automated systems make decisions that reflect bias and discrimination, but such decisions should not be normatively unfair....

Published by Center for AI and Digital Policy

· Fairness and inclusion

...Workplace AI should be tested to ensure that it does not discriminate against vulnerable individuals or communities....

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

· (6) Fairness, Accountability, and Transparency

... Under the AI design concept, all people must be treated fairly without unjustified discrimination on the grounds of diverse backgrounds such as race, sex, nationality, age, political beliefs, religion, etc....

Published by Cabinet Office, Government of Japan

We should adhere to the principles of fairness and non discrimination, and avoid biases and discrimination based on ethnicities, beliefs, nationalities, genders, etc., during the process of data collection, algorithm design, technology development, and product development and application.

... We should adhere to the principles of fairness and non discrimination, and avoid biases and discrimination based on ethnicities, beliefs, nationalities, genders, etc., during the process of data collection, algorithm design, technology development, and product development and application....

Published by Cyberspace Administration of China

We should adhere to the principles of fairness and non discrimination, and avoid biases and discrimination based on ethnicities, beliefs, nationalities, genders, etc., during the process of data collection, algorithm design, technology development, and product development and application.

... We should adhere to the principles of fairness and non discrimination, and avoid biases and discrimination based on ethnicities, beliefs, nationalities, genders, etc., during the process of data collection, algorithm design, technology development, and product development and application....

Published by Cyberspace Administration of China

III. Privacy and Data Governance

...To allow individuals to trust the data processing, it must be ensured that they have full control over their own data, and that data concerning them will not be used to harm or discriminate against them....

Published by European Commission

V. Diversity, non discrimination and fairness

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

Published by European Commission

V. Diversity, non discrimination and fairness

...The continuation of such biases could lead to (in)direct discrimination....

Published by European Commission

(d) Justice, equity, and solidarity

...discriminatory biases in data sets used to train and run AI systems should be prevented or detected, reported and neutralised at the earliest stage possible....

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

Fairness

...Ensure that algorithmic decisions do not create discriminatory or unjust impacts when comparing across different demographics (e.g....

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

· 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

Justice and Solidarity

...In view of the vast amounts of power being accumulated using data and technologies, and the new threats of exclusion and discrimination, the safeguarding of equitable access and distributive justice is an urgent task....

Published by Data Ethics Commission, Germany

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

...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....

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

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

...Developers and implementers need to ensure that individuals and minority groups maintain freedom from bias, stigmatisation and discrimination....

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

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

...Additionally, the positives and negatives resulting from AI should be evenly distributed, avoiding to place vulnerable demographics in a position of greater vulnerability and striving for equal opportunity in terms of access to education, goods, services and technology amongst human beings, without discrimination....

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

· 1. Accountability

...In a case of discrimination, however, an explanation and apology might be at least as important....

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

· 5. Non Discrimination

...Non discrimination...

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

· 5. Non Discrimination

...discrimination concerns the variability of AI results between individuals or groups of people based on the exploitation of differences in their characteristics that can be considered either intentionally or unintentionally (such as ethnicity, gender, sexual orientation or age), which may negatively impact such individuals or groups....

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

· 5. Non Discrimination

...Direct or indirect discrimination through the use of AI can serve to exploit prejudice and marginalise certain groups....

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

...discrimination in an AI context can occur unintentionally due to, for example, problems with data such as bias, incompleteness and bad governance models....

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

· 8. Robustness

...The lack of reproducibility can lead to unintended discrimination in AI decisions....

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

· 8. Robustness

...Poor governance, by which it becomes possible to intentionally or unintentionally tamper with the data, or grant access to the algorithms to unauthorised entities, can also result in discrimination, erroneous decisions, or even physical harm....

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

(Preamble)

...The 40th International Conference of Data Protection and Privacy Commissioners considers that any creation, development and use of artificial intelligence systems shall fully respect human rights, particularly the rights to the protection of personal data and to privacy, as well as human dignity, non discrimination and fundamental values, and shall provide solutions to allow individuals to maintain control and understanding of artificial intelligence systems....

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

5. Empowerment of every individual should be promoted, and the exercise of individuals’ rights should be encouraged, as well as the creation of opportunities for public engagement, in particular by:

...b. respecting related rights including freedom of expression and information, as well as non discrimination,...

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

6. Unlawful biases or discriminations that may result from the use of data in artificial intelligence should be reduced and mitigated, including by:

...a. ensuring the respect of international legal instruments on human rights and non discrimination,...

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

6. Unlawful biases or discriminations that may result from the use of data in artificial intelligence should be reduced and mitigated, including by:

...d. elaborating specific guidance and principles in addressing biases and discrimination, and promoting individuals’ and stakeholders’ awareness....

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)

fair and accountable, eg, do not give rise to discrimination based on consumers’ lack of awareness regarding the use of black box AI technology or datasets that are inappropriate;

... fair and accountable, eg, do not give rise to discrimination based on consumers’ lack of awareness regarding the use of black box AI technology or datasets that are inappropriate;...

Published by Ministry of Communication and Informatics

• Require Accountability for Ethical Design and Implementation

...Public policy should work to identify and mitigate discrimination caused by the use of AI and encourage designing in protections against these harms....

Published by Intel

• Require Accountability for Ethical Design and Implementation

...• Transparent decisions: Governments should determine which AI implementations require algorithm explainability to mitigate discrimination and harm to individuals....

Published by Intel

Ensure “Interpretability” of AI systems

...Principle: Decisions made by an AI agent should be possible to understand, especially if those decisions have implications for public safety, or result in discriminatory practices....

Published by Internet Society, "Artificial Intelligence and Machine Learning: Policy Paper"

4. Fairness

...Members of the JSAI will acknowledge that the use of AI may bring about additional inequality and discrimination in society which did not exist before, and will not be biased when developing AI....

Published by The Japanese Society for Artificial Intelligence (JSAI)

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

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

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

3. Justice

...What types of discrimination could AI create or exacerbate?...

Published by University of Montreal, Forum on the Socially Responsible Development of AI

3. Justice

...The development of AI should promote justice and seek to eliminate all types of discrimination, notably those linked to gender, age, mental physical abilities, sexual orientation, ethnic social origins and religious beliefs....

Published by University of Montreal, Forum on the Socially Responsible Development of AI

6 EQUITY PRINCIPLE

...1) AIS must be designed and trained so as not to create, reinforce, or reproduce discrimination based on — among other things — social, sexual, ethnic, cultural, or religious differences....

Published by University of Montreal

Chapter 1. General Principles

...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....

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

Chapter 3. The Norms of Research and Development

...Avoid bias and discrimination....

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

Chapter 3. The Norms of Research and Development

...During the process of data collection and algorithm development, strengthen ethics review, fully consider the diversity of demands, avoid potential data and algorithmic bias, and strive to achieve inclusivity, fairness and non discrimination of AI systems....

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

· 6. A.I. must guard against bias, ensuring proper, and representative research so that the wrong heuristics cannot be used to discriminate.

...must guard against bias, ensuring proper, and representative research so that the wrong heuristics cannot be used to discriminate....

Published by Satya Nadella, CEO of Microsoft

· 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. Good and fair

...These include dignity, autonomy, privacy, data protection, non discrimination, equality, and fairness....

Published by Government of Ontario, Canada

6. Sensible and appropriate

...This context could include relevant social or discriminatory impacts....

Published by Government of Ontario, Canada

5. Fairness

...Ensure that algorithmic decisions do not create discriminatory or unjust impacts across different demographic lines (e.g....

Published by Personal Data Protection Commission (PDPC), Singapore

5. Fairness

...To develop and include monitoring and accounting mechanisms to avoid unintentional discrimination when implementing decision making systems....

Published by Personal Data Protection Commission (PDPC), Singapore

Ensure fairness

...All data sets are evaluated for fairness, possible inclusion of sensitive data and implicitly discriminatory collection models....

Published by Rebelliondefense

· 1. THE MAIN PRIORITY OF THE DEVELOPMENT OF AI TECHNOLOGIES IS PROTECTING THE INTERESTS AND RIGHTS OF HUMAN BEINGS COLLECTIVELY AND AS INDIVIDUALS

...Non discrimination....

Published by AI Alliance Russia

· 1. THE MAIN PRIORITY OF THE DEVELOPMENT OF AI TECHNOLOGIES IS PROTECTING THE INTERESTS AND RIGHTS OF HUMAN BEINGS COLLECTIVELY AND AS INDIVIDUALS

...To ensure fairness and non discrimination, AI Actors should take measures to verify that the algorithms, datasets and processing methods for machine learning that are used to group and or classify data concerning individuals or groups do not intentionally discriminate....

Published by AI Alliance Russia

· 1. THE MAIN PRIORITY OF THE DEVELOPMENT OF AI TECHNOLOGIES IS PROTECTING THE INTERESTS AND RIGHTS OF HUMAN BEINGS COLLECTIVELY AND AS INDIVIDUALS

...To ensure fairness and non discrimination, AI Actors should take measures to verify that the algorithms, datasets and processing methods for machine learning that are used to group and or classify data concerning individuals or groups do not intentionally discriminate....

Published by AI Alliance Russia

· 1. THE MAIN PRIORITY OF THE DEVELOPMENT OF AI TECHNOLOGIES IS PROTECTING THE INTERESTS AND RIGHTS OF HUMAN BEINGS COLLECTIVELY AND AS INDIVIDUALS

...AI Actors are encouraged to create and apply methods and software solutions that identify and prevent discrimination based on race, nationality, gender, political views, religious beliefs, age, social and economic status, or information about private life....

Published by AI Alliance Russia

· 1. THE MAIN PRIORITY OF THE DEVELOPMENT OF AI TECHNOLOGIES IS PROTECTING THE INTERESTS AND RIGHTS OF HUMAN BEINGS COLLECTIVELY AND AS INDIVIDUALS

...(At the same time, cannot be considered as discrimination rules, which are explicitly declared by an AI Actor for functioning or the application of AIS for the different groups of users, with such factors taken into account for segmentation)...

Published by AI Alliance Russia

· 1. THE KEY PRIORITY OF AI TECHNOLOGIES DEVELOPMENT IS PROTECTION OF THE INTERESTS AND RIGHTS OF HUMAN BEINGS AT LARGE AND EVERY PERSON IN PARTICULAR

...Non discrimination....

Published by AI Alliance Russia

· 1. THE KEY PRIORITY OF AI TECHNOLOGIES DEVELOPMENT IS PROTECTION OF THE INTERESTS AND RIGHTS OF HUMAN BEINGS AT LARGE AND EVERY PERSON IN PARTICULAR

...To ensure fairness and non discrimination, AI Actors should take measures to verify that the algorithms, datasets and processing methods for machine learning that are used to group and or classify data that concern individuals or groups do not entail intentional discrimination....

Published by AI Alliance Russia

· 1. THE KEY PRIORITY OF AI TECHNOLOGIES DEVELOPMENT IS PROTECTION OF THE INTERESTS AND RIGHTS OF HUMAN BEINGS AT LARGE AND EVERY PERSON IN PARTICULAR

...To ensure fairness and non discrimination, AI Actors should take measures to verify that the algorithms, datasets and processing methods for machine learning that are used to group and or classify data that concern individuals or groups do not entail intentional discrimination....

Published by AI Alliance Russia

· 1. THE KEY PRIORITY OF AI TECHNOLOGIES DEVELOPMENT IS PROTECTION OF THE INTERESTS AND RIGHTS OF HUMAN BEINGS AT LARGE AND EVERY PERSON IN PARTICULAR

...AI Actors are encouraged to create and apply methods and software solutions that identify and prevent discrimination manifestations based on race, nationality, gender, political views, religious beliefs, age, social and economic status, or information about private life (at the same time, the rules of functioning or application of AI systems for different groups of users wherein such factors are taken into account for user segmentation, which are explicitly declared by an AI Actor, cannot be defined as discrimination)....

Published by AI Alliance Russia

· 1. THE KEY PRIORITY OF AI TECHNOLOGIES DEVELOPMENT IS PROTECTION OF THE INTERESTS AND RIGHTS OF HUMAN BEINGS AT LARGE AND EVERY PERSON IN PARTICULAR

...AI Actors are encouraged to create and apply methods and software solutions that identify and prevent discrimination manifestations based on race, nationality, gender, political views, religious beliefs, age, social and economic status, or information about private life (at the same time, the rules of functioning or application of AI systems for different groups of users wherein such factors are taken into account for user segmentation, which are explicitly declared by an AI Actor, cannot be defined as discrimination)....

Published by AI Alliance Russia

3. We enable businesses beyond bias

...This is particularly the case when there is a risk of causing discrimination or of unjustly impacting underrepresented groups....

Published by SAP

Principle 1 – Fairness

...Bias may occur due to data, representation or algorithms and could lead to discrimination against the historically disadvantaged groups....

Published by SDAIA

Principle 1 – Fairness

...When designing, selecting, and developing AI systems, it is essential to ensure just, fair, non biased, non discriminatory and objective standards that are inclusive, diverse, and representative of all or targeted segments of society....

Published by SDAIA

· Plan and Design:

...The fairness principle requires taking necessary actions to eliminate bias, discrimination or stigmatization of individuals, communities, or groups in the design, data, development, deployment and use of AI systems....

Published by SDAIA

· Plan and Design:

...Bias may occur due to data, representation or algorithms and could lead to discrimination against the historically disadvantaged groups....

Published by SDAIA

· Plan and Design:

...When designing, selecting, and developing AI systems, it is essential to ensure just, fair,non biased, non discriminatory and objective standards that are inclusive, diverse, andrepresentative of all or targeted segments of society....

Published by SDAIA

· Plan and Design:

...During this phase, it is important to implement a fairness awaredesign that takes appropriate precautions across the AI system algorithm, processes, andmechanisms to prevent biases from having a discriminatory effect or lead to skewed andunwanted results or outcomes....

Published by SDAIA

· Prepare Input Data:

...4 Automated decision support technologies present major risks of bias and unwanted application at the deployment phase, so it is critical to set out mechanisms to prevent harmful and discriminatory results at this phase....

Published by SDAIA

3.4 Fairness

...The principle of fairness refers to the protection of rights and integrity against discrimination, especially discrimination of particularly sensitive categorie....

Published by Republic of Serbia

3.4 Fairness

...The principle of fairness refers to the protection of rights and integrity against discrimination, especially discrimination of particularly sensitive categorie....

Published by Republic of Serbia

3.4 Fairness

...For example, in health care, the principle of fairness implies the prohibition of discrimination based on race, sex, gender, sexual orientation and gender identity, age, nationality, social origin, religion, political or other conviction, financial status, culture, language, health status, type of illness, mental or physical disabilty, as well as other personal characteristics that maybe the cause of discrimination....

Published by Republic of Serbia

3.4 Fairness

...For example, in health care, the principle of fairness implies the prohibition of discrimination based on race, sex, gender, sexual orientation and gender identity, age, nationality, social origin, religion, political or other conviction, financial status, culture, language, health status, type of illness, mental or physical disabilty, as well as other personal characteristics that maybe the cause of discrimination....

Published by Republic of Serbia

3.4 Fairness

...Likewise, artificial intelligence systems must prevent discrimination when in use....

Published by Republic of Serbia

3.4 Fairness

...The real dimension includes protection against unjustified bias, discrimination and stigmatization....

Published by Republic of Serbia

· 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

5. Respect for Fairness

...In its utilization of AI, Sony will respect diversity, in areas such as ethnicity, culture, region, religion and beliefs, and human rights of its customers and other stakeholders without any discrimination while striving to contribute to the resolution of social problems through its activities in its own and related industries....

Published by Sony Group

· ③ Respect for Diversity

...Throughout every stage of AI development and utilization, the diversity and representativeness of the AI users should be ensured, and bias and discrimination based on personal characteristics, such as gender, age, disability, region, race, religion, and nationality, should be minimized....

Published by The Ministry of Science and ICT (MSIT) and the Korea Information Society Development Institute (KISDI)

1. Fair AI

...This means that they should not lead to discriminatory impacts on people in relation to race, ethnic origin, religion, gender, sexual orientation, disability or any other personal condition....

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

3. Rights respecting

...We seek to identify, prevent, mitigate and account for how we address our impacts on human rights and how we manage human rights risks and opportunities, such as privacy, children’s rights and anti discrimination....

Published by Telia Company AB

· Algorithmic fairness

... Formulate guidelines and principles on solving bias and discrimination, potential mechanisms include algorithmic transparency, quality review, impact assessment, algorithmic audit, supervision and review, ethical board, etc....

Published by Tencent Research Institute

· Public engagement and exercise of individuals' rights

... Respect individuals' rights, such as data privacy, expression and information freedom, non discrimination, etc....

Published by Tencent Research Institute

4. Fairness Obligation.

...Institutions must ensure that AI systems do not reflect unfair bias or make impermissible discriminatory decisions....

Published by The Public Voice coalition, established by Electronic Privacy Information Center (EPIC)

4. Fairness Obligation.

...The Fairness Obligation recognizes that all automated systems make decisions that reflect bias and discrimination, but such decisions should not be normatively unfair....

Published by The Public Voice coalition, established by Electronic Privacy Information Center (EPIC)

Second, the principle of security.

...AI algorithms must be traceable and transparent and there should be no algorithm discrimination;...

Published by Center for International Strategy and Security, Tsinghua University (Tsinghua CISS)

Fourth principle: Bias and Harm Mitigation

...Of particular concern is the risk of discriminatory outcomes resulting from algorithmic bias or skewed data sets....

Published by The Ministry of Defence (MOD), United Kingdom

Fourth principle: Bias and Harm Mitigation

...Defence must ensure that its AI enabled systems do not result in unfair bias or discrimination, in line with the MOD’s ongoing strategies for diversity and inclusion....

Published by The Ministry of Defence (MOD), United Kingdom

Fairness and non discrimination

... Fairness and non discrimination...

Published by United Nations System Chief Executives Board for Coordination

Fairness and non discrimination

...United Nations system organizations should aim to promote fairness to ensure the equal and just distribution of the benefits, risks and costs, and to prevent bias, discrimination and stigmatization of any kind, in compliance with international law....

Published by United Nations System Chief Executives Board for Coordination

· Fairness and non discrimination

...· Fairness and non discrimination...

Published by The United Nations Educational, Scientific and Cultural Organization (UNESCO)

· Fairness and non discrimination

...AI actors should promote social justice and safeguard fairness and non discrimination of any kind in compliance with international law....

Published by The United Nations Educational, Scientific and Cultural Organization (UNESCO)

· Fairness and non discrimination

...AI actors should make all reasonable efforts to minimize and avoid reinforcing or perpetuating discriminatory or biased applications and outcomes throughout the life cycle of the AI system to ensure fairness of such systems....

Published by The United Nations Educational, Scientific and Cultural Organization (UNESCO)

· Fairness and non discrimination

...Effective remedy should be available against discrimination and biased algorithmic determination....

Published by The United Nations Educational, Scientific and Cultural Organization (UNESCO)

· Transparency and explainability

...It allows for public scrutiny that can decrease corruption and discrimination, and can also help detect and prevent negative impacts on human rights....

Published by The United Nations Educational, Scientific and Cultural Organization (UNESCO)

· Multi stakeholder and adaptive governance and collaboration

...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....

Published by The United Nations Educational, Scientific and Cultural Organization (UNESCO)

3. Prioritize fairness and non discrimination for children

...Prioritize fairness and non discrimination for children...

Published by United Nations Children's Fund (UNICEF) and the Ministry of

3. Prioritize fairness and non discrimination for children