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

· Article 9: Diversity and inclusivity.

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

Published by Artificial Intelligence Industry Alliance (AIIA), China

Transparency and explainability

... for creators, including those undertaking the validation and certification of AI, the systems’ processes and input data...

Published by Department of Industry, Innovation and Science, Australian Government

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

...Therefore not only should AI be designed with the impact on various vulnerable demographics in mind but the above mentioned demographics should have a place in the design process (rather through testing, validating, or other)....

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

· 2. Data Governance

...In addition, it must be ensured that the proper division of the data which is being set into training, as well as validation and testing of those sets, is carefully conducted in order to achieve a realistic picture of the performance of the AI system....

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

3. Given the non deterministic nature of intelligent systems, a system of constant tests and validations must be established, including the inputs made to the system and its overall behavior. The architecture of AI systems must establish behavioral limits.

...Given the non deterministic nature of intelligent systems, a system of constant tests and validations must be established, including the inputs made to the system and its overall behavior....

Published by IA Latam

· Consensus Statement on AI Safety as a Global Public Good

...This work must begin swiftly to ensure they are developed and validated prior to the advent of advanced AIs....

Published by IDAIS (International Dialogues on AI Safety)

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. Principle of controllability

...In order to assess the risks related to the controllability of AI systems, it is encouraged that developers make efforts to conduct verification and validation in advance....

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

3. Principle of controllability

...Verification and validation are methods for evaluating and controlling risks in advance....

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

4. Principle of safety

...● To make efforts to conduct verification and validation in advance in order to assess and mitigate the risks related to the safety of the AI systems....

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

5. Principle of security

...● To make efforts to conduct verification and validation in advance in order to assess and control the risks related to the security of AI systems....

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

C. Explainability and Traceability:

...This includes verification, assessment and validation mechanisms at either a NATO and or national level....

Published by The North Atlantic Treaty Organization (NATO)

5. We uphold quality and safety standards

...Our AI software undergoes thorough testing under real world scenarios to firmly validate they are fit for purpose and that the product specifications are met....

Published by SAP

· Build and Validate:

...· Build and validate:...

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:

...· Build and validate:...

Published by SDAIA

· Build and Validate:

...· Build and validate:...

Published by SDAIA

· Build and Validate:

...· Build and validate:...

Published by SDAIA

Prepare Input Data:

...2 It is crucial for the build and validate step to test how the system behaves under outlier events, extreme parameters, etc....

Published by SDAIA

· Build and Validate:

...· Build and validate:...

Published by SDAIA

· Build and Validate:

...2 To ensure the technical robustness of an AI system rigorous testing, validation, and re assessment as well as the integration of adequate mechanisms of oversight and controls into its development is required....

Published by SDAIA

· Build and Validate:

...· Build and validate:...

Published by SDAIA

· Prepare Input Data:

...The data preparation process and data quality checks should be documented and validated by responsible parties....

Published by SDAIA

· Build and Validate:

...· Build and validate:...

Published by SDAIA

· Build and Validate:

...To achieve this, the technical stakeholders who build and validate models should be responsible for these decisions....

Published by SDAIA

· Build and Validate:

...4 The appropriate stakeholders and owners of the AI technology should review and sign off the model after successful testing and validation of user acceptance testing rounds have been conducted and completed before the AI models can be productionized....

Published by SDAIA

· Deploy and Monitor:

...The outcomes and decisions set in the build and validate step should be monitored continuously and should result in periodic performance reports....

Published by SDAIA

· Test and validation

...· Test and validation...

Published by Tencent Research Institute

· Test and validation

... Ensure AI systems go through rigorous test and validation to achieve reasonable expectations of performance...

Published by Tencent Research Institute

· Safety and security

...Safe and secure AI will be enabled by the development of sustainable, privacy protective data access frameworks that foster better training and validation of AI models utilizing quality data....

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

1. Demand That AI Systems Are Transparent

...C. For validation and certification of an AI system, transparency is important because it exposes the system’s processes for scrutiny....

Published by UNI Global Union

1. Public Trust in AI

...Its continued adoption and acceptance will depend significantly on public trust and validation....

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

1. Public Trust in AI

...Its continued adoption and acceptance will depend significantly on public trust and validation....

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

7. Validation and Testing

...validation and Testing...

Published by ACM US Public Policy Council (USACM)

7. Validation and Testing

...Institutions should use rigorous methods to validate their models and document those methods and results....

Published by ACM US Public Policy Council (USACM)

3 Ensure transparency, explainability and intelligibility

...The examination and validation should include the assumptions, operational protocols, data properties and output decisions of the AI technology....

Published by World Health Organization (WHO)

4 Foster responsibility and accountability

...Ultimately, such work should be validated by regulatory agencies or other supervisory authorities....

Published by World Health Organization (WHO)

· Article 9: Diversity and inclusivity.

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

Transparency and explainability

... for creators, including those undertaking the validation and certification of AI, the systems’ processes and input data...

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

...Therefore not only should AI be designed with the impact on various vulnerable demographics in mind but the above mentioned demographics should have a place in the design process (rather through testing, validating, or other)....

· 2. Data Governance

...In addition, it must be ensured that the proper division of the data which is being set into training, as well as validation and testing of those sets, is carefully conducted in order to achieve a realistic picture of the performance of the AI system....

3. Given the non deterministic nature of intelligent systems, a system of constant tests and validations must be established, including the inputs made to the system and its overall behavior. The architecture of AI systems must establish behavioral limits.

...Given the non deterministic nature of intelligent systems, a system of constant tests and validations must be established, including the inputs made to the system and its overall behavior....

· Consensus Statement on AI Safety as a Global Public Good

...This work must begin swiftly to ensure they are developed and validated prior to the advent of advanced AIs....

4. Principle 4 — Transparency

3. Principle of controllability

...In order to assess the risks related to the controllability of AI systems, it is encouraged that developers make efforts to conduct verification and validation in advance....

3. Principle of controllability

...Verification and validation are methods for evaluating and controlling risks in advance....

4. Principle of safety

...● To make efforts to conduct verification and validation in advance in order to assess and mitigate the risks related to the safety of the AI systems....

5. Principle of security

...● To make efforts to conduct verification and validation in advance in order to assess and control the risks related to the security of AI systems....

C. Explainability and Traceability:

...This includes verification, assessment and validation mechanisms at either a NATO and or national level....

5. We uphold quality and safety standards

...Our AI software undergoes thorough testing under real world scenarios to firmly validate they are fit for purpose and that the product specifications are met....

· Build and Validate:

...· Build and validate:...

· 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....

· Build and Validate:

...· Build and validate:...

· Build and Validate:

...· Build and validate:...

· Build and Validate:

...· Build and validate:...

Prepare Input Data:

...2 It is crucial for the build and validate step to test how the system behaves under outlier events, extreme parameters, etc....

· Build and Validate:

...· Build and validate:...

· Build and Validate:

...2 To ensure the technical robustness of an AI system rigorous testing, validation, and re assessment as well as the integration of adequate mechanisms of oversight and controls into its development is required....

· Build and Validate:

...· Build and validate:...

· Prepare Input Data:

...The data preparation process and data quality checks should be documented and validated by responsible parties....

· Build and Validate:

...· Build and validate:...

· Build and Validate:

...To achieve this, the technical stakeholders who build and validate models should be responsible for these decisions....

· Build and Validate:

...4 The appropriate stakeholders and owners of the AI technology should review and sign off the model after successful testing and validation of user acceptance testing rounds have been conducted and completed before the AI models can be productionized....

· Deploy and Monitor:

...The outcomes and decisions set in the build and validate step should be monitored continuously and should result in periodic performance reports....

· Test and validation

...· Test and validation...

· Test and validation

... Ensure AI systems go through rigorous test and validation to achieve reasonable expectations of performance...

· Safety and security

...Safe and secure AI will be enabled by the development of sustainable, privacy protective data access frameworks that foster better training and validation of AI models utilizing quality data....

1. Demand That AI Systems Are Transparent

...C. For validation and certification of an AI system, transparency is important because it exposes the system’s processes for scrutiny....

1. Public Trust in AI

...Its continued adoption and acceptance will depend significantly on public trust and validation....

1. Public Trust in AI

...Its continued adoption and acceptance will depend significantly on public trust and validation....

7. Validation and Testing

...validation and Testing...

7. Validation and Testing

...Institutions should use rigorous methods to validate their models and document those methods and results....

3 Ensure transparency, explainability and intelligibility

...The examination and validation should include the assumptions, operational protocols, data properties and output decisions of the AI technology....

4 Foster responsibility and accountability

...Ultimately, such work should be validated by regulatory agencies or other supervisory authorities....

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