The CPMAI Trustworthy AI framework helps teams build, monitor, and maintain AI systems with ethical, secure, and transparent practices.
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