Search results for keyword 'explainable'

3. Explainability

...explainability...

Published by ADP

3. Explainability

...o We strive to develop ML solutions that are explainable and direct....

Published by ADP

· Article 6: Transparent and explainable.

...· Article 6: Transparent and explainable....

Published by Artificial Intelligence Industry Alliance (AIIA), China

· Article 6: Transparent and explainable.

...Regarding system decision making processes, data structures, and the intent of system developers and technological implementers: be capable of accurate description, monitoring, and reproduction; and realize explainability, predictability, traceability, and verifiability for algorithmic logic, system decisions, and action outcomes....

Published by Artificial Intelligence Industry Alliance (AIIA), China

· Article 11: Formulate standards.

...Enhance the measurability of ethical principles such as security and controllability, transparency and explainability, privacy protection, and diversity and inclusiveness; and simultaneously build corresponding assessment capabilities....

Published by Artificial Intelligence Industry Alliance (AIIA), China

Transparency:

...We will be open about, and explain, our use of AI to our customers so they have a clear understanding of our AI systems and their application....

Published by Adobe

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

3. TRANSPARENCY

...The operation and impacts of an AI system should be transparent, traceable, auditable and generally explainable to a degree appropriate to its use and potential risk profile so outcomes can be understood and challenged, particularly where they relate to people....

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

Transparency and explainability

... Transparency and explainability...

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.

· Explain accordingly

...· explain accordingly...

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.

(e) Explainability:

... (e) explainability:...

Published by The Extended Working Group on Ethics of Artificial Intelligence (AI) of the World Commission on the Ethics of Scientific Knowledge and Technology (COMEST), UNESCO

(e) Explainability:

...AI should be explainable, able to provide insight into its functioning....

Published by The Extended Working Group on Ethics of Artificial Intelligence (AI) of the World Commission on the Ethics of Scientific Knowledge and Technology (COMEST), UNESCO

I. Human agency and oversight

...Depending on the specific AI based system and its application area, the appropriate degrees of control measures, including the adaptability, accuracy and explainability of AI based systems, should be ensured....

Published by European Commission

IV. Transparency

...Linked to this, explainability of the algorithmic decision making process, adapted to the persons involved, should be provided to the extent possible....

Published by European Commission

IV. Transparency

...Ongoing research to develop explainability mechanisms should be pursued....

Published by European Commission

(Preamble)

...Accountability in this context includes an obligation to report, explain, or justify algorithmic decision making as well as mitigate any negative social impacts or potential harms....

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

Explainability

... explainability...

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

· 1.3. Transparency and explainability

...Transparency and explainability...

Published by G20 Ministerial Meeting on Trade and Digital Economy

Be transparent and produce explainable outputs

... Be transparent and produce explainable outputs...

Published by GE Healthcare

· 10. Transparency

...explainability – as a form of transparency – entails the capability to describe, inspect and reproduce the mechanisms through which AI systems make decisions and learn to adapt to their environments, as well as the provenance and dynamics of the data that is used and created by the system....

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

I Interpretability

...Interpretable and explainable AI will be essential for business and the public to understand, trust and effectively manage 'intelligent' machines....

Published by Institute of Business Ethics (IBE)

I Interpretability

...Organisations that design and use algorithms need to take care in producing models that are as simple as possible, to explain how complex machines work....

Published by Institute of Business Ethics (IBE)

C Control

...Being able to explain the functionalities of a technology of which they appear to be in control of is essential to build trust with employees, customers and all stakeholders....

Published by Institute of Business Ethics (IBE)

3. New technology, including AI systems, must be transparent and explainable

...New technology, including AI systems, must be transparent and explainable...

Published by IBM

3. New technology, including AI systems, must be transparent and explainable

...If we are to use AI to help make important decisions, it must be explainable....

Published by IBM

3. Explainability:

...explainability:...

Published by IBM

3. Artificial intelligence systems transparency and intelligibility should be improved, with the objective of effective implementation, in particular by:

...a. investing in public and private scientific research on explainable artificial intelligence,...

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

4. Principle 4 — Transparency

...(The mechanisms by which transparency is provided will vary significantly, for instance 1) for users of care or domestic robots, a why did you do that button which, when pressed, causes the robot to explain the action it just took, 2) for validation or certification agencies, the algorithms underlying the A IS and how they have been verified, and 3) for accident investigators, secure storage of sensor and internal state data, comparable to a flight data recorder or black box.)...

Published by The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems

3 Transparency and Explainability

... 3 Transparency and explainability...

Published by International Technology Law Association (ITechLaw)

3 Transparency and Explainability

...Organisations that develop, deploy or use AI systems and any national laws that regulate such use shall ensure that, to the extent reasonable given the circumstances and state of the art of the technology, such use is transparent and that the decision outcomes of the AI system are explainable....

Published by International Technology Law Association (ITechLaw)

• 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

6. Act with integrity

...As specialists, members of the JSAI will not assert false or unclear claims and are obliged to explain the technical limitations or problems in AI systems truthfully and in a scientifically sound manner....

Published by The Japanese Society for Artificial Intelligence (JSAI)

2. Principle of transparency

...Developers should pay attention to the verifiability of inputs outputs of AI systems and the explainability of their judgments....

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

2. Principle of transparency

...It is desirable that developers pay attention to the verifiability of the inputs and outputs of AI systems as well as the explainability of the judgment of AI systems within a reasonable scope in light of the characteristics of the technologies to be adopted and their use, so as to obtain the understanding and trust of the society including users of AI systems....

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

4. Principle of safety

...● To make efforts to explain the designers’ intent of AI systems and the reasons for it to stakeholders such as users, when developing AI systems to be used for making judgments regarding the safety of life, body, or property of users and third parties (for example, such judgments that prioritizes life, body, property to be protected at the time of an accident of a robot equipped with AI)....

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

9. Principle of transparency

...AI service providers and business users should pay attention to the verifiability of inputs outputs of AI systems or AI services and the explainability of their judgments....

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

9. Principle of transparency

...B) Ensuring explainability...

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

9. Principle of transparency

...AI service providers and business users may be expected to ensure explainability on the judgments of AI....

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

9. Principle of transparency

...In light of the characteristics of the technologies to be used and their usage, in what cases and to what extent is explainability expected to be ensured?...

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

9. Principle of transparency

...Especially in the case of using AI in fields where the judgments of AI might have significant influences on individual rights and interests, such as the fields of medical care, personnel evaluation and recruitment and financing, explainability on the judgments of AI may be expected to be ensured....

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

9. Principle of transparency

...(For example, we have to pay attention to the current situation where deep learning has high prediction accuracy, but it is difficult to explain its judgment.)...

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

C. Explainability and Traceability:

... C. explainability and Traceability:...

Published by The North Atlantic Treaty Organization (NATO)

Chapter 6. Organization and Implementation

...This set of norms is issued by the National Governance Committee of New Generation Artificial Intelligence, and it is responsible for explaining and guiding its implementation....

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

· 1.3. Transparency and explainability

...Transparency and explainability...

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

7. We believe that it is important for the operation of AI systems to be understandable and interpretable by people, for purposes of explaining the technology.

...We believe that it is important for the operation of AI systems to be understandable and interpretable by people, for purposes of explaining the technology....

Published by Partnership on AI

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

4. Explainability

...explainability...

Published by Personal Data Protection Commission (PDPC), Singapore

1. Transparency:

...in principle, AI systems must be explainable;...

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

2. Transparency

...AI will be explainable for users to understand its decision or recommendation to the extent technologically feasible....

Published by Samsung

· We will make AI systems as explainable as technically possible

...· We will make AI systems as explainable as technically possible...

Published by Smart Dubai

· We will make AI systems as explainable as technically possible

...Decisions and methodologies of AI systems which have a significant effect on individuals should be explainable to them, to the extent permitted by available technology...

Published by Smart Dubai

2. Transparent and explainable AI

...Transparent and explainable AI...

Published by Telefónica

7. Transparent and explainable

...Transparent and explainable...

Published by Telia Company AB

7. Transparent and explainable

...We strive towards transparency and to proactively explain the use of AI in our operations to customers, employees and other stakeholders in a user friendly way, based on applicable industry best practice and relevant standards....

Published by Telia Company AB

· "Black box" technology

... Promote algorithmic transparency and algorithmic audit, to achieve understandable and explainable AI systems...

Published by Tencent Research Institute

Transparency

...Striving towards AI that can be explained and explain itself....

Published by Tieto

Third principle: Understanding

...While the ‘black box’ nature of some machine learning systems means that they are difficult to fully explain, we must be able to audit either the systems or their outputs to a level that satisfies those who are duly and formally responsible and accountable....

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

· Transparency and explainability

...· Transparency and explainability...

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

· Transparency and explainability

...The transparency and explainability of AI systems are often essential preconditions to ensure the respect, protection and promotion of human rights, fundamental freedoms and ethical principles....

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

· Transparency and explainability

...While efforts need to be made to increase transparency and explainability of AI systems, including those with extra territorial impact, throughout their life cycle to support democratic governance, the level of transparency and explainability should always be appropriate to the context and impact, as there may be a need to balance between transparency and explainability and other principles such as privacy, safety and security....

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

· Transparency and explainability

...While efforts need to be made to increase transparency and explainability of AI systems, including those with extra territorial impact, throughout their life cycle to support democratic governance, the level of transparency and explainability should always be appropriate to the context and impact, as there may be a need to balance between transparency and explainability and other principles such as privacy, safety and security....

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

· Transparency and explainability

...While efforts need to be made to increase transparency and explainability of AI systems, including those with extra territorial impact, throughout their life cycle to support democratic governance, the level of transparency and explainability should always be appropriate to the context and impact, as there may be a need to balance between transparency and explainability and other principles such as privacy, safety and security....

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

· Transparency and explainability

...explainability refers to making intelligible and providing insight into the outcome of AI systems....

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

· Transparency and explainability

...The explainability of AI systems also refers to the understandability of the input, output and the functioning of each algorithmic building block and how it contributes to the outcome of the systems....

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

· Transparency and explainability

...Thus, explainability is closely related to transparency, as outcomes and ub processes leading to outcomes should aim to be understandable and traceable, appropriate to the context....

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

· Transparency and explainability

...AI actors should commit to ensuring that the algorithms developed are explainable....

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

· Transparency and explainability

...Transparency and explainability relate closely to adequate responsibility and accountability measures, as well as to the trustworthiness of AI systems....

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

2. Equip AI Systems With an “Ethical Black Box”

...The data provided by the black box could also assist robots in explaining their actions in language human users can understand, fostering better relationships and improving the user experience....

Published by UNI Global Union

6. Provide transparency, explainability and accountability for children

...Provide transparency, explainability and accountability for children...

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

6. Provide transparency, explainability and accountability for children

...Strive to explicitly address children when promoting explainability and transparency of AI systems....

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

3. Accountability

...Institutions should be held responsible for decisions made by the algorithms that they use, even if it is not feasible to explain in detail how the algorithms produce their results....

Published by ACM US Public Policy Council (USACM)

3 Ensure transparency, explainability and intelligibility

... 3 Ensure transparency, explainability and intelligibility...

Published by World Health Organization (WHO)

3 Ensure transparency, explainability and intelligibility

...Two broad approaches to ensuring intelligibility are improving the transparency and explainability of AI technology....

Published by World Health Organization (WHO)

3 Ensure transparency, explainability and intelligibility

...AI technologies should be explainable to the extent possible and according to the capacity of those to whom the explanation is directed....

Published by World Health Organization (WHO)

3 Ensure transparency, explainability and intelligibility

...Data protection laws already create specific obligations of explainability for automated decision making....

Published by World Health Organization (WHO)

3 Ensure transparency, explainability and intelligibility

...There is a possible trade off between full explainability of an algorithm (at the cost of accuracy) and improved accuracy (at the cost of explainability)....

Published by World Health Organization (WHO)

3 Ensure transparency, explainability and intelligibility

...There is a possible trade off between full explainability of an algorithm (at the cost of accuracy) and improved accuracy (at the cost of explainability)....

Published by World Health Organization (WHO)

4 Foster responsibility and accountability

...Institutions have not only legal liability but also a duty to assume responsibility for decisions made by the algorithms they use, even if it is not feasible to explain in detail how the algorithms produce their results....

Published by World Health Organization (WHO)

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
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