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AI Ethics Principle 3: Fairness
Fairness: AI systems should be inclusive and accessible, and should not involve or result in unfair discrimination against individuals, communities...
AI Ethics Principle 4: Privacy protection and security
Privacy protection and security: AI systems should respect and uphold privacy rights and data protection, and ensure the security of data.
AI Ethics Principle 5: Reliability and safety
Reliability and safety: AI systems should reliably operate in accordance with their intended purpose.
AI Ethics Principle 6: Transparency and explainability
Transparency and explainability: There should be transparency and responsible disclosure so people can understand when they are being significantly...
AI Ethics Principle 7: Contestability
Contestability: When an AI system significantly impacts a person, community, group or environment, there should be a timely process to allow people...
AI Ethics Principle 8: Accountability
Accountability: People responsible for the different phases of the AI system lifecycle should be identifiable and accountable for the outcomes of the...
AI Ethics Principle 1: Human, societal and environmental wellbeing
Human, societal and environmental wellbeing: AI systems should benefit individuals, society and the environment.
Critical Infrastructure
Protect critical infrastructure in a national emergency
Incident Response
Enhance incident response procedures
Law Enforcement Capabilities
Bolster law enforcement capabilities, including on the dark web
Pagination
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