• Stewardship for Responsible AI

  • Principles of Responsible AI

    • Human, social and environmental wellbeing  
         AI systems should benefit individuals, society and the environment.

       
    • Human-centered values
         AI systems should respect human rights, diversity, and the autonomy of individuals.

       
    • Fairness
        AI systems should be inclusive and accessible, and should not involve or result in unfair discrimination against individuals, communities or groups.

       
    • Privacy protection and security
        AI systems should respect and uphold privacy rights and data protection, and ensure the security of data.

       
    • Reliability and safety
        AI systems should reliably operate in accordance with their intended purpose.

       
    • Transparency and explainability
        There should be transparency and responsible disclosure to ensure people know when they are being significantly impacted by an AI system, and can find out when an AI system is engaging with them.

       
    • Contestability
        When an AI system significantly impacts a person, community, group or environment, there should be a timely process to allow people to challenge the use or output of the AI system.

       
    • Accountability
        Those responsible for the different phases of the AI system lifecycle should be identifiable and accountable for the outcomes of the AI systems, and human oversight of AI systems should be enabled.
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