Search results for keyword 'fairness'

(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

1. Transparency and Explainability

...Some practices to demonstrate repeatability include conducting repeatability assessments to ensure deployments in live environments are repeatable and performing counterfactual fairness testing to ensure that the AI system’s decisions are the same in both the real world and in the counterfactual world....

Published by ASEAN

2. Fairness and Equity

...fairness and Equity...

Published by ASEAN

2. Fairness and Equity

...Deployers should have safeguards in place to ensure that algorithmic decisions do not further exacerbate or amplify existing discriminatory or unjust impacts across different demographics and the design, development, and deployment of AI systems should not result in unfair biasness or discrimination....

Published by ASEAN

2. Fairness and Equity

...To mitigate discrimination, it is important that the design, development, and deployment of AI systems align with fairness and equity principles....

Published by ASEAN

Responsibility:

...We will ensure that we design for inclusiveness and assess the impact of potentially unfair, discriminatory, or inaccurate results, which might perpetuate harmful biases and stereotypes....

Published by Adobe

Fairness

... fairness...

Published by The Alan Turing Institute

1. FAIRNESS AND JUSTICE

...fairness AND JUSTICE...

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

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 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

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

· 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

...· fairness...

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.

· Quality education

...The development of AI should help provide more inclusive, fairer, and quality education for children....

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

... fairness Obligation...

Published by Center for AI and Digital Policy

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 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 Obligation

...There is no simple answer to the question as to what is unfair or impermissible....

Published by Center for AI and Digital Policy

Fairness Obligation

...But the fairness Obligation makes clear that an assessment of objective outcomes alone is not sufficient to evaluate an AI system....

Published by Center for AI and Digital Policy

· 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

· Fairness and justice

...· fairness and justice...

Published by International Research Center for AI Ethics and Governance, Instituteof Automation, Chinese Academy of Sciences and other 10 entities

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 of United Kingdom, 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 of United Kingdom, 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)

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

• 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

2. AI systems should be designed with respect for the rule of law, human rights, democratic values and diversity, and should include appropriate mechanisms – such as allowing human intervention where necessary – to ensure a fair and equitable society.

...AI systems should be designed with respect for the rule of law, human rights, democratic values and diversity, and should include appropriate mechanisms – such as allowing human intervention where necessary – to ensure a fair and equitable society....

Published by National Institute of Transparency, Access to Information and Protection of Personal Data (INAI)

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

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 1. General Principles

...(2) Promoting fairness and justice....

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

Chapter 1. General Principles

...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....

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

Chapter 1. General Principles

...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....

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

Fairness

... fairness...

Published by Government of New South Welsh, Australia

· 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)

2. Good and fair

...Good and fair...

Published by Government of Ontario, Canada

2. Good and fair

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

Published by Government of Ontario, Canada

2. Good and fair

...Algorithmic and machine learning systems evolve through their lifecycle and as such it is important for the systems in place and technologies to be good and fair at the onset, in their data inputs and throughout the life cycle of use....

Published by Government of Ontario, Canada

2. Good and fair

...The definitions of good and fair are intentionally broad to allow designers and developers to consider all of the users both directly and indirectly impacted by the deployment of an automated decision making system....

Published by Government of Ontario, Canada

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

Ensure fairness

... Ensure fairness...

Published by Rebelliondefense

Ensure fairness

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

Published by Rebelliondefense

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

· 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

· 5. INTERESTS OF DEVELOPING AI TECHNOLOGIES ABOVE THE INTERESTS OF COMPETITION

...To maintain the fair competition and effective cooperation of developers, AI Actors should use the most reliable and comparable information about the capabilities of AISs in relation to a task and ensure the uniformity of the measurement methodologies....

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

· 5. INTERESTS OF AI TECHNOLOGIES DEVELOPMENT OUTWEIGH THE INTERESTS OF COMPETITION

...In order to maintain fair competition and effective cooperation of developers, AI Actors are encouraged to use the most reliable and comparable information about the capabilities of AI systems with regards to a certain task and ensure the uniformity of measurement methodologies when comparing AI systems with one another....

Published by AI Alliance Russia

· 2. ACCESSION MECHANISM AND IMPLEMENTATION OF THE CODE

...In order to ensure timely exchange of best practices of useful and safe AI systems application built on the basic principles of this Code, increase the transparency of developers' activities and maintain healthy and fair competition on the AI systems market, AI Actors can create a set of best and or worst practical examples of how to solve emerging ethical issues in the AI life cycle and selected according to the criteria established by the professional community....

Published by AI Alliance Russia

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

Principle 1 – Fairness

... Principle 1 – fairness...

Published by SDAIA

Principle 1 – Fairness

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

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

Principle 1 – Fairness

...To ensure consistent AI systems that are based on fairness and inclusiveness, AI systems should be trained on data that are cleansed from bias and is representative of affected minority groups....

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:

...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:

...To ensure consistent AI systems that are based on fairness and inclusiveness, AI systems shouldbe trained on data that are cleansed from bias and is representative of affected minority groups.Al algorithms should be built and developed in a manner that makes their composition free frombias and correlation fallacy....

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

· Plan and Design:

...2 fairness aware design should start at the beginning of the AI System Lifecycle with a collaborative effort from technical and non technical members to identify potential harm andbenefits, affected individuals and vulnerable groups and evaluate how they are impacted bythe results and whether the impact is justifiable given the general purpose of the AI system....

Published by SDAIA

· Plan and Design:

...3 A fairness assessment of the AI system is crucial, and the metrics should be selected at this stage of the AI System Lifecycle....

Published by SDAIA

· Plan and Design:

...The allowed threshold which makes the assessment fair or unfair should be defined....

Published by SDAIA

· Plan and Design:

...The allowed threshold which makes the assessment fair or unfair should be defined....

Published by SDAIA

· Plan and Design:

...The fairness assessment metrics to be applied to sensitive features should be measured during future steps....

Published by SDAIA

· Prepare Input Data:

...The sample size of the data collected or procured has a significant impact on the accuracy and fairness of the outputs of a trained model....

Published by SDAIA

· Build and Validate:

...1 At the build and validate stage of the AI System Lifecycle, it is essential to take into consideration implementation fairness as a common theme when building, testing, and implementing the AI system....

Published by SDAIA

· Build and Validate:

...2 During the selection of the champion model, the fairness metric assessment should be considered....

Published by SDAIA

· Build and Validate:

...The champion model fairness metrics should be within the defined threshold for the sensitive features....

Published by SDAIA

· Build and Validate:

...The optimization approach of fairness and performance metrics should be clearly set throughout this phase....

Published by SDAIA

· Build and Validate:

...The fairness assessment should be justified if the champion model does not pass the assessment....

Published by SDAIA

· Build and Validate:

...1 Well defined mechanisms and protocols should be set in place when deploying the AI system to measure the fairness and performance of the outcomes and how it impacts individuals and communities....

Published by SDAIA

· Build and Validate:

...When analyzing the outcomes of the predictive model, it should be assessed if represented groups in the data sample receive benefits in equal or similar portions and if the AI system disproportionately harms specific members based on demographic differences to ensure outcome fairness....

Published by SDAIA

· Build and Validate:

...2 The predefined fairness metrics should be monitored in production....

Published by SDAIA

Principle 7 – Accountability & Responsibility

...The accountability and responsibility principle is closely related to the fairness principle....

Published by SDAIA

Principle 7 – Accountability & Responsibility

...The parties responsible for the AI system should ensure that the fairness of the system is maintained and sustained through control mechanisms....

Published by SDAIA

· Prepare Input Data:

...In parallel with the fairness principle, the sensitive features should not be included in the model data....

Published by SDAIA

3.4 Fairness

... 3.4 fairness...

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

...The principle of fairness has its real (eng....

Published by Republic of Serbia

3.4 Fairness

...The procedural dimension of fairness includes the ability to challenge and include effective legal protection against decisions resulting from the operation of the Artificial Intelligence System...

Published by Republic of Serbia

3.4 Fairness

...The fair use of Artificial lnteligence Systems can lead to an increase in fairness in society as a whole, as well as to a reduction of the differences that exist between individuals in terms of social, economic and educational status...

Published by Republic of Serbia

3.4 Fairness

...The fair use of Artificial lnteligence Systems can lead to an increase in fairness in society as a whole, as well as to a reduction of the differences that exist between individuals in terms of social, economic and educational status...

Published by Republic of Serbia

· 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

...· Algorithmic fairness...

Published by Tencent Research Institute

(Preamble)

...The rise of AI decision making also implicates fundamental rights of fairness, accountability, and transparency....

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

(Preamble)

...Many of these techniques are entirely opaque, leaving individuals unaware whether the decisions were accurate, fair, or even about them....

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

4. Fairness Obligation.

...fairness Obligation....

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

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)

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)

4. Fairness Obligation.

...There is no simple answer to the question as to what is unfair or impermissible....

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

4. Fairness Obligation.

...But the fairness Obligation makes clear that an assessment of objective outcomes alone is not sufficient to evaluate an AI system....

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

Fairness & equality

... fairness & equality...

Published by Tieto

Fairness & equality

...Unbiased, fair and inclusive AI fostering diversity and equality among people....

Published by Tieto

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

...At the international level, the most technologically advanced countries have a responsibility of solidarity with the least advanced to ensure that the benefits of AI technologies are shared such that access to and participation in the AI system life cycle for the latter contributes to a fairer world order with regard to information, communication, culture, education, research and socio economic and political stability....

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)

· Transparency and explainability

...A lack of transparency could also undermine the possibility of effectively challenging decisions based on outcomes produced by AI systems and may thereby infringe the right to a fair trial and effective remedy, and limits the areas in which these systems can be legally used....

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

· Transparency and explainability

...It may also include insight into factors that affect a specific prediction or decision, and whether or not appropriate assurances (such as safety or fairness measures) are in place....

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

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

...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. 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

...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

Be Fair.

... Be fair....

Published by Unity Technologies

Ethics and Fairness

... Ethics and fairness...

Published by Vodafone Group

Contact

Institute of Automation, Chinese Academy of Sciences
95 Zhongguancun East Road,
Haidian District, Beijing,
China 100190
Principal Investigator - Yi Zeng
contact@long-term-ai.cn

Contributors: Cunqing Huangfu, Enmeng Lu, Zizhe Ruan et al.

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Brain-inspired Cognitive Intelligence Lab, Institute of Automation, Chinese Academy of Sciences
International Research Center for AI Ethics and Governance, Institute of Automation, Chinese Academy of Sciences
All Rights Reserved