Reliability and safety
Reliability and safety
Reliability and safety
AI systems should not pose unreasonable safety risks, and should adopt safety measures that are proportionate to the magnitude of potential risks.
Reliability and safety
AI systems should not pose unreasonable safety risks, and should adopt safety measures that are proportionate to the magnitude of potential risks.
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.
Reliability and safety
Responsibility should be clearly and appropriately identified, for ensuring that an AI system is robust and safe.
Transparency and explainability
for creators, including those undertaking the validation and certification of AI, the systems’ processes and input data
Accountability
They must consider the appropriate level of human control or oversight for the particular AI system or use case.