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

5. Reliability:

AI systems must be able to work reliably;

Principle: Rome Call for AI Ethics, Feb 28, 2020

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

Related Principles

· 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 in Asilomar AI Principles, Jan 3-8, 2017

Reliability & Safety

AI systems should perform reliably and safely.

Published by Microsoft in Microsoft AI Principles, Jan 17, 2018 (unconfirmed)

5. Safety and Controllability

The transparency, interpretability, reliability, and controllability of AI systems should be improved continuously to make the systems more traceable, trustworthy, and easier to audit and monitor. AI safety at different levels of the systems should be ensured, AI robustness and anti interference performance should be improved, and AI safety assessment and control capacities should be developed.

Published by National Governance Committee for the New Generation Artificial Intelligence, China in Governance Principles for the New Generation Artificial Intelligence--Developing Responsible Artificial Intelligence, Jun 17, 2019

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

1. Safety and security of the people, be they operators, end users or other parties, will be of paramount concern in the design of any AI system 2. AI systems should be verifiably secure and controllable throughout their operational lifetime, to the extent permitted by technology 3. The continued security and privacy of users should be considered when decommissioning AI systems 4. AI systems that may directly impact people’s lives in a significant way should receive commensurate care in their designs, and; 5. Such systems should be able to be overridden or their decisions reversed by designated people

Published by Smart Dubai in Dubai's AI Principles, Jan 08, 2019

Fifth principle: Reliability

AI enabled systems must be demonstrably reliable, robust and secure. The MOD’s AI enabled systems must be suitably reliable; they must fulfil their intended design and deployment criteria and perform as expected, within acceptable performance parameters. 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. Given Defence’s unique operational context and the challenges of the information environment, this principle also requires AI enabled systems to be secure, and a robust approach to cybersecurity, data protection and privacy. MOD personnel working with or alongside AI enabled systems can build trust in those systems by ensuring that they have a suitable level of understanding of the performance and parameters of those systems, as articulated in the principle of understanding.

Published by The Ministry of Defence (MOD), United Kingdom in Ethical Principles for AI in Defence, Jun 15, 2022