AI-154WA
Foundations of Responsible AI for Executives Training
This Responsible AI training course is tailored for executives and directors seeking a high-level understanding of AI systems, responsible AI, and AI risk management. The course explores management-specific topics such as prioritizing AI risks and quantifying ROI for AI systems. Learners gain hands-on experience with the NIST AI Risk Management Framework and practice issue spotting using industry-specific examples.
Course Details
Duration
1 day
Prerequisites
No prior experience is required.
Skills Gained
- Understand the potential harms posed by AI systems
- Comprehend the challenges of AI risk management
- Learn the lifecycle and critical dimensions of AI systems
- Develop strategies to avoid, reduce, transfer, diversify, and mitigate AI risk
- Explore potential legislation and the future of responsible AI
Course Outline
- Foundations of Artificial intelligence
- What is intelligence, AI, and Generative AI?
- Traditional AI, Machine Learning, and Deep Learning
- Generative AI, Prompt Engineering, and Retrieval Augmented Generation
- Introduction to AI Systems and AI Project Management
- The AI System Lifecycle
- Common AI Actors
- Challenges of AI Project Management
- Quantifying ROI on AI Systems
- Understanding AI Risks and AI Risk Management
- What is "Responsible" AI?
- AI Risks vs. Traditional Software Risks
- Challenges & Strategies for AI Risks Management
- Generative AI Risks & Mitigations
- Generative AI Cybersecurity Threat Vectors
- Governing Responsible AI
- What makes AI "Responsible" and "Trustworthy"?
- Policies, processes, procedures, and practices
- Accountability structures
- Diverse Input
- Culture & Communication
- Engagement Processes
- Policies and Procedures
- Contingency Plans
- Conclusion
- Issue Spotting
- Regulations and Legislation (Tailored per Industry)
