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

Reliability and safety

Throughout their lifecycle, AI systems should reliably operate in accordance with their intended purpose. This principle aims to ensure that AI systems reliably operate in accordance with their intended purpose throughout their lifecycle. This includes ensuring AI systems are reliable, accurate and reproducible as appropriate. AI systems should not pose unreasonable safety risks, and should adopt safety measures that are proportionate to the magnitude of potential risks. 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. Responsibility should be clearly and appropriately identified, for ensuring that an AI system is robust and safe.

Published by Department of Industry, Innovation and Science, Australian Government in AI Ethics Principles, Nov 7, 2019

· 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