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

· 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

1. Transparency and Explainability

...Transparency and explainability...

Published by ASEAN

1. Transparency and Explainability

...explainability is the ability to communicate the reasoning behind an AI system’s decision in a way that is understandable to a range of people, as it is not always clear how an AI system has arrived at a conclusion....

Published by ASEAN

1. Transparency and Explainability

...In line with the principle of explainability, developers and deployers designing, developing, and deploying AI systems should also strive to foster general understanding among users of how such systems work with simple and easy to understand explanations on how the AI system makes decisions....

Published by ASEAN

1. Transparency and Explainability

...For example, when an AI system is used to predict the likelihood of cardiac arrest in patients, explainability can be implemented by informing medical professionals of the most significant factors (e.g., age, blood pressure, etc.)...

Published by ASEAN

1. Transparency and Explainability

...Where “black box” models are deployed, rendering it difficult, if not impossible to provide explanations as to the workings of the AI system, outcome based explanations, with a focus on explaining the impact of decisionmaking or results flowing from the AI system may be relied on....

Published by ASEAN

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 OFFICE OF THE CHIEF OF MINISTERS UNDERSECRETARY OF INFORMATION TECHNOLOGIES

Transparency and explainability.

...Transparency and explainability of AI systems are often essential preconditions for ensuring that human rights, fundamental freedoms and ethical principles are respected, protected and promoted....

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

Transparency and explainability

... Transparency and explainability...

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.

· 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

We should promote the establishment of a testing and assessment system based on AI risk levels, implement agile governance, and carry out tiered and category based management for rapid and effective response. R&D entities should improve the explainability and predictability of AI, increase data authenticity and accuracy, ensure that AI always remains under human control, and build trustworthy AI technologies that can be reviewed, monitored, and traced.

...R&D entities should improve the explainability and predictability of AI, increase data authenticity and accuracy, ensure that AI always remains under human control, and build trustworthy AI technologies that can be reviewed, monitored, and traced....

Published by Cyberspace Administration of China

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)

transparent and explicable, eg, applying a “human on the loop” approach to ensure that fintech players have the knowledge and ability to control AI based application processes, and can explain them to consumers; and

... transparent and explicable, eg, applying a “human on the loop” approach to ensure that fintech players have the knowledge and ability to control AI based application processes, and can explain them to consumers; and...

Published by Ministry of Communication and Informatics

• 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)

1. Transparent and explainable

...Transparent and explainable...

Published by Government of Ontario, Canada

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

Uphold high standards of scientific and technological excellence

...We believe AI should be interpretable and explainable to its human users....

Published by Rebelliondefense

Uphold high standards of scientific and technological excellence

...We build our technology to be intuitive and explainable in simple terms....

Published by Rebelliondefense

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

Principle 6 – Transparency & Explainability

... Principle 6 – Transparency & explainability...

Published by SDAIA

Principle 6 – Transparency & Explainability

...The transparency and explainability principle is crucial for building and maintaining trust in AI systems and technologies....

Published by SDAIA

Principle 6 – Transparency & Explainability

...AI systems must be built with a high level of clarity and explainability as well as features to track the stages of automated decision making, particularly those that may lead to detrimental effects on data subjects....

Published by SDAIA

Principle 6 – Transparency & Explainability

...It follows that data, algorithms, capabilities, processes, and purpose of the AI system need to be transparent and communicated as well as explainable to those who are directly and indirectly affected....

Published by SDAIA

Principle 6 – Transparency & Explainability

...The degree to which the system is traceable, auditable, transparent, and explainable is dependent on the context and purpose of the AI system and the severity of the outcomes that may result from the technology....

Published by SDAIA

· Plan and Design:

...The model should establish a process mechanism to log and address issues and complaints that arise to be able to resolve them in a transparent and explainable manner....

Published by SDAIA

· Plan and Design:

...This has a direct effect on the training and implementation of these systems since the criteria for the data’s organization, and structuring must be transparent and explainable in their acquisition and collection adhering to data privacy regulations and intellectual property standards and controls....

Published by SDAIA

· Build and Validate:

...Algorithms should be developed in a transparent way to ensure that input transparency is evident and explainable to the end users of the AI system to be able to provide evidence and information on the data used to process the decisions that have been processed....

Published by SDAIA

· Build and Validate:

...2 Transparent and explainable algorithms ensure that stakeholders affected by AI systems, both individuals and communities, are fully informed when an outcome is processed by the AI system by providing the opportunity to request explanatory information from the AI system owner....

Published by SDAIA

· Build and Validate:

...This enables the identification of the AI decision and its respective analysis which facilitates its auditability as well as its explainability....

Published by SDAIA

3.1 Explainability and verifiability

... 3.1 explainability and verifiability...

Published by Republic of Serbia

3.1 Explainability and verifiability

...The purpose and capabilities of the artificial intelligence system itself must be explainable, especially the decisions (recommendations) which it brings (to the extent that it is expedient) to all who are affected by the System (directly or indirectly)....

Published by Republic of Serbia

· 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

· ⑩ Transparency

...In order to build social trust, efforts should be made, while taking into account possible conflicts with other principles, to improve the transparency and explainability of AI to a level suitable for the use cases of the AI system....

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

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 United Nations System Chief Executives Board for Coordination

Transparency and explainability

...United Nations system organizations should ensure transparency and explainability of AI systems that they use at all stages of their lifecycle and of decision making processes involving AI systems....

Published by United Nations System Chief Executives Board for Coordination

Transparency and explainability