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Duration 14 hours
Course Outline
Foundations of Ethics in Autonomous Systems
- Establishing the definition of autonomy in AI agents
- Application of core ethical theories to machine behavior
- Incorporating stakeholder perspectives and value-sensitive design
Societal Risks and High-Stakes Use Cases
- Deployment of autonomous agents in public safety, health, and defense
- Navigating human-AI collaboration and defining trust boundaries
- Analyzing scenarios of unintended consequences and risk amplification
Legal and Regulatory Landscape
- Survey of AI legislation and policy trends (EU AI Act, NIST, OECD)
- Examining accountability, liability, and the concept of legal personhood for AI agents
- Reviewing global governance initiatives and existing gaps
Explainability and Decision Transparency
- Addressing the challenges of black-box autonomous decision making
- Designing for explainable and auditable agent operations
- Utilizing transparency tools and frameworks (e.g., model cards, datasheets)
Alignment, Control, and Moral Responsibility
- Implementing AI alignment strategies for agent conduct
- Comparing human-in-the-loop and human-on-the-loop control paradigms
- Distributing responsibility among designers, users, and institutions
Ethical Risk Assessment and Mitigation
- Conducting risk mapping and critical failure analysis in agent architecture
- Integrating safeguards and off-switch mechanisms
- Auditing for bias, discrimination, and fairness
Governance Design and Institutional Oversight
- Applying principles of responsible AI governance
- Evaluating multistakeholder oversight models and audit processes
- Constructing compliance frameworks specific to autonomous agents
Conclusion and Forward Steps
Requirements
- Working knowledge of AI systems and machine learning fundamentals
- Exposure to autonomous agents and their practical applications
- Understanding of ethical and legal frameworks within technology policy
Target Audience
- AI ethicists
- Policy makers and regulators
- Senior AI practitioners and researchers
