Linking Artificial Intelligence Principles (LAIP)

Search results for keyword 'discrimination'

· 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

Fairness

...All AI systems that process social or demographic data pertaining to features of human subjects must be designed to meet a minimum threshold of discriminatory non harm....

Published by The Alan Turing Institute

Transparency

...Designers and implementers of AI systems must be able (1) to explain to affected stakeholders in everyday language how and why a model performed the way it did in a specific context and (2) to justify the ethical permissibility, the discriminatory non harm, and the public trustworthiness both of its outcome and of the processes behind its design and use....

Published by The Alan Turing Institute

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

· Be Ethical

...This may include, but not limited to: making the system as fair as possible, reducing possible discrimination and biases, improving its transparency, explainability and predictability, and making the system more traceable, auditable and accountable....

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

...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

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

· 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)

• 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

· 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)

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

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

· 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

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)

7. Fairness and Non Discrimination

...Fairness and Non discrimination...

Published by The White House Office of Science and Technology Policy (OSTP), United States

7. Fairness and Non Discrimination

...Agencies should consider in a transparent manner the impacts that AI applications may have on discrimination....

Published by The White House Office of Science and Technology Policy (OSTP), United States

7. Fairness and Non Discrimination

...AI applications have the potential of reducing present day discrimination caused by human subjectivity....

Published by The White House Office of Science and Technology Policy (OSTP), United States

7. Fairness and Non Discrimination

...At the same time, applications can, in some instances, introduce real world bias that produces discriminatory outcomes or decisions that undermine public trust and confidence in AI....

Published by The White House Office of Science and Technology Policy (OSTP), United States

7. Fairness and Non Discrimination

...When considering regulations or non regulatory approaches related to AI applications, agencies should consider, in accordance with law, issues of fairness and non discrimination with respect to outcomes and decisions produced by the AI application at issue, as well as whether the AI application at issue may reduce levels of unlawful, unfair, or otherwise unintended discrimination as compared to existing processes....

Published by The White House Office of Science and Technology Policy (OSTP), United States

7. Fairness and Non Discrimination

...When considering regulations or non regulatory approaches related to AI applications, agencies should consider, in accordance with law, issues of fairness and non discrimination with respect to outcomes and decisions produced by the AI application at issue, as well as whether the AI application at issue may reduce levels of unlawful, unfair, or otherwise unintended discrimination as compared to existing processes....

Published by The White House Office of Science and Technology Policy (OSTP), United States

7. Validation and Testing

...In particular, they should routinely perform tests to assess and determine whether the model generates discriminatory harm....

Published by ACM US Public Policy Council (USACM)