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AI systems should treat all individuals and groups impartially, equitable and free from prejudice. Regulators should assess systems for potential bias and ensure transparency around decisions.Regulators should encourage system developers to ensure people understand AI decisions by providing clear explanations. Systems should be transparent about development, capabilities, limitations and real-world performance.Regulators should ensure that AI is human-centric, with appropriate oversight and controls. Organisations remain responsible for systems and their impacts. Proportionate governance measures should manage risks.AI systems should reliably behave as intended while minimising unintentional and potentially harmful consequences. Threats like hacking should be anticipated and systems designed accordingly.The privacy rights of individuals, groups and communities should be respected through adequate data governance. The collection, use, storage and sharing of data must be handled sensitively and lawfully.
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