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

1. Accountability and Transparency

...We have implemented audit and risk assessments to test our models as the baseline of our oversight methodologies....

Published by ADP

· 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

Accountability:

...Accountability also entails testing for and anticipating potential harms, taking preemptive steps to mitigate such harms, and maintaining systems to respond to unanticipated harmful outcomes....

Published by Adobe

Reliability and safety

...AI systems should be monitored and tested to ensure they continue to meet their intended purpose, and any identified problems should be addressed with ongoing risk management as appropriate....

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

· Focus on humans

...Human control of AI should be mandatory and testable by regulators....

Published by Centre for International Governance Innovation (CIGI), Canada

· Fairness and inclusion

...Employers should be required to test AI in the workplace on a regular basis to ensure that the system is built for purpose and is not harmfully influenced by bias of any kind — gender, race, sexual orientation, age, religion, income, family status and so on....

Published by Centre for International Governance Innovation (CIGI), Canada

· Fairness and inclusion

...Workplace AI should be tested to ensure that it does not discriminate against vulnerable individuals or communities....

Published by Centre for International Governance Innovation (CIGI), Canada

· Reliability

...AI should be designed within explicit operational requirements and undergo exhaustive testing to ensure that it responds safely to unanticipated situations and does not evolve in unexpected ways....

Published by Centre for International Governance Innovation (CIGI), Canada

· Transparency

...While in some circumstances open source code will be helpful, what is more important are clear, complete and testable explanations of what the system is doing and why....

Published by Centre for International Governance Innovation (CIGI), Canada

· (7) Innovation

...This engineering includes methods for the development, testing and operation of AI....

Published by Cabinet Office, Government of Japan

4. Reliable.

...DoD AI systems should have an explicit, well defined domain of use, and the safety, security, and robustness of such systems should be tested and assured across their entire life cycle within that domain of use....

Published by Defense Innovation Board (DIB), Department of Defense (DoD), United States

I. Human agency and oversight

...All other things being equal, the less oversight a human can exercise over an AI system, the more extensive testing and stricter governance is required....

Published by European Commission

III. Privacy and Data Governance

...Processes and data sets used must be tested and documented at each step such as planning, training, testing and deployment....

Published by European Commission

III. Privacy and Data Governance

...Processes and data sets used must be tested and documented at each step such as planning, training, testing and deployment....

Published by European Commission

(g) Security, safety, bodily and mental integrity

...All dimensions of safety must be taken into account by AI developers and strictly tested before release in order to ensure that ‘autonomous’ systems do not infringe on the human right to bodily and mental integrity and a safe and secure environment....

Published by European Group on Ethics in Science and New Technologies, European Commission

· 2.3 Shaping an enabling policy environment for AI

...To this effect, they should consider using experimentation to provide a controlled environment in which AI systems can be tested, and scaled up, as appropriate....

Published by G20 Ministerial Meeting on Trade and Digital Economy

· 3. Be built and tested for safety.

...Be built and tested for safety....

Published by Google

· 3. Be built and tested for safety.

...In appropriate cases, we will test AI technologies in constrained environments and monitor their operation after deployment....

Published by Google

· 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

· 2. Data Governance

...It must particularly be ensured that anonymisation of the data is done in a way that enables the division of the data into sets to make sure that a certain data – for instance, images from same persons – do not end up into both the training and test sets, as this would disqualify the latter....

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

· 4. Governance of AI Autonomy (Human oversight)

...All other things being equal, the greater degree of autonomy that is given to an AI system, the more extensive testing and stricter governance is required....

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

4. Principle 4 — Transparency

...Develop new standards* that describe measurable, testable levels of transparency, so that systems can be objectively assessed and levels of compliance determined....

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

· 1.3 Robust and Representative Data

...To promote the responsible use of data and ensure its integrity at every stage, industry has a responsibility to understand the parameters and characteristics of the data, to demonstrate the recognition of potentially harmful bias, and to test for potential bias before and throughout the deployment of AI systems....

Published by Information Technology Industry Council (ITI)

• Foster Innovation and Open Development

...Governments should support the controlled testing of AI systems to help industry, academia, and other stakeholders improve the technology....

Published by Intel

• Foster Innovation and Open Development

...• Allow for experimentation: Governments should create the conditions necessary for the controlled testing and experimentation of AI in the real world, such as designating self driving test sites in cities....

Published by Intel

• Foster Innovation and Open Development

...• Allow for experimentation: Governments should create the conditions necessary for the controlled testing and experimentation of AI in the real world, such as designating self driving test sites in cities....

Published by Intel

• Liberate Data Responsibly

...• Support the creation of reliable data sets to test algorithms: Governments should explore non regulatory methods to encourage the development of testing data sets....

Published by Intel

• Liberate Data Responsibly

...• Support the creation of reliable data sets to test algorithms: Governments should explore non regulatory methods to encourage the development of testing data sets....

Published by Intel

• 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

Responsible Deployment

...Make safety a priority: Any deployment of an autonomous system should be extensively tested beforehand to ensure the AI agent’s safe interaction with its environment (digital or physical) and that it functions as intended....

Published by Internet Society, "Artificial Intelligence and Machine Learning: Policy Paper"

Responsible Deployment

...Responsible disclosure: Security researchers acting in good faith should be able to responsibly test the security of AI systems without fear of prosecution or other legal action....

Published by Internet Society, "Artificial Intelligence and Machine Learning: Policy Paper"

3. Technical reliability, Safety and security

...Artificial intelligence solutions should be extensively tested, used with care and monitored....

Published by Megvii

8 PRUDENCE PRINCIPLE

...3) Before being placed on the market and whether they are offered for charge or for free, AIS must meet strict reliability, security, and integrity requirements and be subjected to tests that do not put people’s lives in danger, harm their quality of life, or negatively impact their reputation or psychological integrity....

Published by University of Montreal

8 PRUDENCE PRINCIPLE

...These tests must be open to the relevant public authorities and stakeholders....

Published by University of Montreal

D. Reliability:

...The safety, security, and robustness of such capabilities will be subject to testing and assurance within those use cases across their entire life cycle, including through established NATO and or national certification procedures....

Published by The North Atlantic Treaty Organization (NATO)

· 2.3 Shaping an enabling policy environment for AI

...To this effect, they should consider using experimentation to provide a controlled environment in which AI systems can be tested, and scaled up, as appropriate....

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

· 2. NEED FOR CONSCIOUS RESPONSIBILITY WHEN CREATING AND USING AI

...during any stage, including design, development, testing, implementation or...

Published by AI Alliance Russia

· 1. Foundation of the code action

...Such persons include, but are not limited to, the following: developers who create, train, or test AI models systems and develop or implement such models systems, software and or hardware systems and take responsibility for their design; customers (individuals or organizations) receiving a product; or a service; data providers and persons involved in the formation of datasets for their use in AISs; experts who measure and or evaluate the parameters of the developed models systems; manufacturers engaged in the production of AIS; AIS operators who legally own the relevant systems, use them for their intended purpose and directly implement the solution to the problems that arise from using AIS; operators (individuals or organizations) carrying out the work of the AIS; persons with a regulatory impact in the field of AI, including the developers of regulatory and technical documents, manuals, various regulations, requirements, and standards in the field of AI; and other persons whose actions can affect the results of the actions of an AIS or persons who make decisions on the use of AIS....

Published by AI Alliance Russia

· 2. RESPONSIBILITY MUST BE FULLY ACKNOWLEDGED WHEN CREATING AND USING AI

...Any use, including the design, development, testing, integration or operation of an AI system capable of purposefully causing harm to the environment, human life and or health, the property of citizens and legal entities, is prohibited....

Published by AI Alliance Russia

· 1. THE BASICS OF THE CODE

...• developers who create, train or test AI models systems and develop or implement such models systems, software and or hardware systems and take responsibility for their design;...

Published by AI Alliance Russia

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

· 1) Accountability:

...We are committed to confirming test standards, deployment processes and specifications, ensuring algorithms verifiable, and gradually improving the accountability and supervision mechanism of artificial intelligence systems....

Published by Youth Work Committee of Shanghai Computer Society

(Preamble)

...To contribute to that AI can extend and complement human abilities rather than lessen or restrict them, Telia Company provides the following Guiding Principles to its operations and employees for proactive design, implementation, testing, use and follow up of AI....

Published by Telia Company AB

6. Safe and secure

...Our solutions are built and tested to prevent possible misuse and reduce the risk of being compromised or causing harm....

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

· 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

Fifth principle: Reliability

...Those parameters must be regularly reviewed and tested for reliability to be assured on an ongoing basis, particularly as AI enabled systems learn and evolve over time, or are deployed in new contexts....

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

5. Ensure safety for children

...Require testing of AI systems for safety, security and robustness....

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

(b) The United States must drive development of appropriate technical standards and reduce barriers to the safe testing and deployment of AI technologies in order to enable the creation of new AI related industries and the adoption of AI by today’s industries.

... (b) The United States must drive development of appropriate technical standards and reduce barriers to the safe testing and deployment of AI technologies in order to enable the creation of new AI related industries and the adoption of AI by today’s industries....

Published by The White House, United States

4. Reliable

...The department's AI capabilities will have explicit, well defined uses, and the safety, security and effectiveness of such capabilities will be subject to testing and assurance within those defined uses across their entire life cycles....

Published by Department of Defense (DoD), United States

7. Validation and Testing

...Validation and testing...

Published by ACM US Public Policy Council (USACM)

7. Validation and Testing

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

Published by ACM US Public Policy Council (USACM)

7. Validation and Testing

...Institutions are encouraged to make the results of such tests public....

Published by ACM US Public Policy Council (USACM)

3 Ensure transparency, explainability and intelligibility

...All algorithms should be tested rigorously in the settings in which the technology will be used in order to ensure that it meets standards of safety and efficacy....

Published by World Health Organization (WHO)

3 Ensure transparency, explainability and intelligibility

...tests and evaluations should be regular, transparent and of sufficient breadth to cover differences in the performance of the algorithm according to race, ethnicity, gender, age and other relevant human characteristics....

Published by World Health Organization (WHO)

3 Ensure transparency, explainability and intelligibility

...There should be robust, independent oversight of such tests and evaluation to ensure that they are conducted safely and effectively....

Published by World Health Organization (WHO)

5 Ensure inclusiveness and equity

...These parties also have a duty to address potential bias and avoid introducing or exacerbating health care disparities, including when testing or deploying new AI technologies in vulnerable populations....

Published by World Health Organization (WHO)