AI Trust Framework

An AI Trust Framework is an AI framework that can be used to create AI trust systems (that support AI trust verification tasks).

• AKA: AI Trustworthiness Framework, AI Trust Assurance Framework, Trustworthy AI Framework.
• Context:
  • It can typically establish AI Trust Principles through AI trust policys and AI trust guidelines.
  • It can typically verify AI Trust Compliance through AI trust assessments and AI trust audits.
  • It can typically enable AI Trust Measurement through AI trust metrics and AI trust indicators.
  • It can typically maintain AI Trust Documentation through AI trust records and AI trust reports.
  • ...
  • It can often support AI Trust Transparency through AI trust explainability features and AI trust communication protocols.
  • It can often facilitate AI Trust Stakeholder Engagement through AI trust consultation processes and AI trust feedback mechanisms.
  • It can often enforce AI Trust Governance through AI trust oversight committees and AI trust review boards.
  • ...
  • It can range from being a Simple AI Trust Framework to being a Comprehensive AI Trust Framework, depending on its AI trust scope coverage.
  • It can range from being a Technical AI Trust Framework to being a Sociotechnical AI Trust Framework, depending on its AI trust dimension focus.
  • ...
  • It can integrate with AI Development Pipelines for AI trust continuous validation.
  • It can support AI Trust Certification Systems for AI trust third-party verification.
  • ...
• Examples:
  • AI Trust Governance Frameworks, such as:
    • EU AI Trust Framework implementing AI trust regulatory compliance.
    • IEEE AI Trust Framework establishing AI trust technical standards.
    • Partnership on AI Trust Framework promoting AI trust industry collaboration.
  • AI Trust Technical Frameworks, such as:
    • Google AI Trust Scorecard Framework providing AI trust quantitative assessments.
    • Microsoft Responsible AI Trust Framework enabling AI trust lifecycle management.
    • IBM AI Trust Toolkit Framework offering AI trust bias detection.
  • AI Trust Domain-Specific Frameworks, such as:
    • Healthcare AI Trust Framework ensuring AI trust patient safety.
    • Financial AI Trust Framework maintaining AI trust regulatory compliance.
    • Autonomous Vehicle AI Trust Framework verifying AI trust safety assurance.
  • ...
• Counter-Examples:
  • AI Development Framework, which focuses on AI technical implementation rather than AI trust assurance.
  • AI Performance Framework, which measures AI capability metrics rather than AI trust factors.
  • General Trust Framework, which lacks AI trust specific requirements.
  • AI Security Framework, which addresses AI security threats rather than broader AI trust concerns.
• See: AI Framework, AI Governance System, AI Ethics Framework, AI Safety Framework, Trust Framework, AI Compliance Framework, AI Certification System.

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