Domain 6. Trustworthy AI

Task 1: Establishing Ethical, Responsible, and Trustworthy AI Foundations

  • Promote responsible AI development for lasting positive impact
  • Address common fears and misconceptions about AI technologies
  • Evaluate real concerns regarding AI implementation
  • Apply ethical AI concepts throughout the development lifecycle
  • Develop frameworks for responsible AI implementation
  • Identify potential unintended consequences of AI systems
  • Implement mitigation strategies for ethical challenges

Task 2: Implementing AI Privacy and Security

  • Apply data privacy principles as the foundation of AI privacy
  • Ensure compliance with General Data Protection Regulation (GDPR)
  • Identify and protect Personally Identifiable Information (PII)
  • Implement effective data anonymization techniques
  • Develop comprehensive AI safety and security protocols
  • Defend against malicious AI and adversarial attacks
  • Develop security monitoring for production AI systems

Task 3: Ensuring AI Transparency and Explainability

  • Design AI systems with appropriate transparency levels
  • Provide visibility into system design methods and processes
  • Create comprehensive AI audit trails for accountability
  • Implement ongoing monitoring for deployed AI systems
  • Communicate AI decision processes to stakeholders
  • Develop appropriate transparency documentation
  • Balance transparency with intellectual property protection

Task 4: Navigating AI Regulations and Frameworks

  • Monitor AI-relevant data privacy laws and regulations
  • Address regulations on algorithmic decisions
  • Apply laws pertaining to AI ethics, bias, and fairness
  • Resolve issues related to ethical and trustworthy AI
  • Implement the Comprehensive Trustworthy AI Framework
  • Recognize the limits of AI technology and communicate them appropriately
  • Develop cross-functional collaboration for regulatory challenges

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