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

Search results for keyword 'verification'

· 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

· Transparency

...One possibility is to require algorithmic verifiability rather than full algorithmic disclosure....

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

· Transparency

...Algorithmic verifiability would require companies to disclose not the actual code driving the algorithm but information allowing the effect of their algorithms to be independently assessed....

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

II. Technical robustness and safety

...In addition, AI systems should integrate safety and security by design mechanisms to ensure that they are verifiably safe at every step, taking at heart the physical and mental safety of all concerned....

Published by European Commission

· 6) Safety

...AI systems should be safe and secure throughout their operational lifetime, and verifiably so where applicable and feasible....

Published by Future of Life Institute (FLI), Beneficial AI 2017

· (16) Responsibility for AI

...Human is responsible for continuous checking and verification of evolved AI to keep its harmony with legal human and legal AI....

Published by HAIP Initiative

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

...e. providing adequate information on the purpose and effects of artificial intelligence systems in order to verify continuous alignment with expectation of individuals and to enable overall human control on such systems....

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

· Independent Global AI Safety and Verification Research,

...· Independent Global AI Safety and verification Research,...

Published by IDAIS (International Dialogues on AI Safety)

· Independent Global AI Safety and Verification Research,

...developing techniques that would allow states to rigorously verify that AI safety related claims made by developers, and potentially other states, are true and valid....

Published by IDAIS (International Dialogues on AI Safety)

· Emergency Preparedness Agreements and Institutions

...Over time, this body could also set standards for and commit to using verification methods to enforce domestic implementations of the Safety Assurance Framework....

Published by IDAIS (International Dialogues on AI Safety)

· Emergency Preparedness Agreements and Institutions

...Experts and safety authorities should establish incident reporting and contingency plans, and regularly update the list of verified practices to reflect current scientific understanding....

Published by IDAIS (International Dialogues on AI Safety)

· Safety Assurance Framework

...Further assurance should be provided by automated run time checks, such as by verifying that the assumptions of a safety case continue to hold and safely shutting down a model if operated in an out of scope environment....

Published by IDAIS (International Dialogues on AI Safety)

· Safety Assurance Framework

...States should mandate that developers conduct regular testing for concerning capabilities, with transparency provided through independent pre deployment audits by third parties granted sufficient access to developers’ staff, systems and records necessary to verify the developer’s claims....

Published by IDAIS (International Dialogues on AI Safety)

· Independent Global AI Safety and Verification Research

...· Independent Global AI Safety and verification Research...

Published by IDAIS (International Dialogues on AI Safety)

· Independent Global AI Safety and Verification Research

...Independent research into AI safety and verification is critical to develop techniques to ensure the safety of advanced AI systems....

Published by IDAIS (International Dialogues on AI Safety)

· Independent Global AI Safety and Verification Research

...States, philanthropists, corporations and experts should enable global independent AI safety and verification research through a series of Global AI Safety and verification Funds....

Published by IDAIS (International Dialogues on AI Safety)

· Independent Global AI Safety and Verification Research

...States, philanthropists, corporations and experts should enable global independent AI safety and verification research through a series of Global AI Safety and verification Funds....

Published by IDAIS (International Dialogues on AI Safety)

· Independent Global AI Safety and Verification Research

...In addition to foundational AI safety research, these funds would focus on developing privacy preserving and secure verification methods, which act as enablers for domestic governance and international cooperation....

Published by IDAIS (International Dialogues on AI Safety)

· Independent Global AI Safety and Verification Research

...In the future, these methods may also allow states to verify safety related claims made by other states, including compliance with the Safety Assurance Frameworks and declarations of significant training runs....

Published by IDAIS (International Dialogues on AI Safety)

· Independent Global AI Safety and Verification Research

...Eventually, comprehensive verification could take place through several methods, including third party governance (e.g., independent audits), software (e.g., audit trails) and hardware (e.g., hardware enabled mechanisms on AI chips)....

Published by IDAIS (International Dialogues on AI Safety)

· Independent Global AI Safety and Verification Research

...To ensure global trust, it will be important to have international collaborations developing and stress testing verification methods....

Published by IDAIS (International Dialogues on AI Safety)

· Independent Global AI Safety and Verification Research

...Critically, despite broader geopolitical tensions, globally trusted verification methods have allowed, and could allow again, states to commit to specific international agreements....

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

7. Accountability and Social Responsibility

...Members of the JSAI must verify the performance and resulting impact of AI technologies they have researched and developed....

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

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

3. Principle of collaboration

...• Risks of failures in verifying the judgment and the decision making of AI (risks of failure to analyze the interactions between AI systems because the interactions become complicated)....

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

...In order to ensure the verifiability of the input and output of AI, AI service providers and business users may be expected to record and preserve the inputs and outputs....

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

5 DEMOCRATIC PARTICIPATION PRINCIPLE

...7) We must at all times be able to verify that AIS are doing what they were programmed for and what they are used for....

Published by University of Montreal

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)

Chapter 3. The Norms of Research and Development

...In the phases of algorithm design, implementation, and application, etc., improve transparency, interpretability, understandability, reliability, and controllability, enhance the resilience, adaptability, and the ability of anti interference of AI systems, and gradually realize verifiable, auditable, supervisable, traceable, predictable and trustworthy AI....

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

10. Responsibility, accountability and transparency

...c. Incorporate downstream measures and processes for users or stakeholders to verify how and when AI technology is being applied....

Published by Personal Data Protection Commission (PDPC), Singapore

· 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

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

...In the field of AI development, making decisions that are significant to society and the state should be accompanied by scientifically verified and interdisciplinary forecasting of socio economic consequences and risks, as well as by the examination of possible changes in the value and cultural paradigm of the development of society, while taking into account national priorities....

Published by AI Alliance Russia

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

...AI Actors are encouraged to collaborate in the identification and verification of methods and forms of creating universal ("strong") AIS and the prevention of the possible threats that AIS carry....

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

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

...Making decisions in the field of AI use that significantly affect society and the state should be accompanied by a scientifically verified, interdisciplinary forecast of socio economic consequences and risks and examination of possible changes in the paradigm of value and cultural development of the society....

Published by AI Alliance Russia

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

...AI Actors are encouraged to cooperate in identifying and verifying information about ways and forms of design of so called universal ("general") AI systems and prevention of possible threats they carry....

Published by AI Alliance Russia

· Prepare Input Data:

...Selected features should be verified with business owners and non technical teams....

Published by SDAIA

· Deploy and Monitor:

...2 The model must also be monitored in a periodic and continuous manner to verify whether...

Published by SDAIA

3.1 Explainability and verifiability

...verifiability is a complementary element of this principle, which ensures that the System can check in all processes, ie....

Published by Republic of Serbia

3.1 Explainability and verifiability

...verifiability includes the actions and procedures of checking artificial intelligence systems during testing and implementation, as well as checking the short term and long term impact that such a system has on humans....

Published by Republic of Serbia

· 1) Privacy:

...Stipulate relevant laws and regulations, verify user ownership, strengthen the awareness of privacy protection, develop algorithms and technologies of privacy protection, collect and use data in an open, transparent and lawful manner....

Published by Youth Work Committee of Shanghai Computer Society

· 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

· AI systems will be safe, secure and controllable by humans

...AI systems should be verifiably secure and controllable throughout their operational lifetime, to the extent permitted by technology...

Published by Smart Dubai

5. Working with partners and third parties

...When we deliver AI based products and services to our customers in collaboration with partners or third parties, we contractually reserve the right to verify with our suppliers that the logic and data used as declared by the suppliers are true....

Published by Telefónica

Third principle: Understanding

...To enable this understanding, we must be able to verify that our AI enabled systems work as intended....

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