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Course Outline
Core Ethical Foundations in Autonomous Systems
- Defining the scope of autonomy in AI agents
- Applying key ethical theories to machine behavior
- Incorporating stakeholder perspectives and value-sensitive design
Societal Risks and Critical Use Cases
- Deployment of autonomous agents in public safety, health, and defense
- Navigating Human-AI collaboration and establishing trust boundaries
- Analyzing scenarios of unintended consequences and risk amplification
Legal and Regulatory Environment
- Overview of AI legislation and policy trajectories (EU AI Act, NIST, OECD)
- Exploring accountability, liability, and the concept of legal personhood for AI agents
- Reviewing global governance initiatives and identifying current gaps
Explainability and Decision Transparency
- Addressing the challenges of black-box autonomous decision making
- Designing for explainable and auditable AI agents
- Utilizing transparency tools and frameworks (e.g., model cards, datasheets)
Alignment, Control, and Moral Accountability
- Implementing AI alignment strategies for agent behavior
- Comparing human-in-the-loop versus human-on-the-loop control paradigms
- Distributing shared responsibility among designers, users, and institutions
Ethical Risk Assessment and Mitigation
- Conducting risk mapping and critical failure analysis in agent design
- Establishing safeguards and effective off-switch mechanisms
- Performing bias, discrimination, and fairness auditing
Governance Design and Institutional Supervision
- Adhering to principles of responsible AI governance
- Implementing multistakeholder oversight models and audit processes
- Structuring compliance frameworks specifically for autonomous agents
Conclusions and Future Directions
Requirements
- Proficiency in AI systems and core machine learning principles
- Working knowledge of autonomous agents and their practical applications
- Familiarity with ethical and legal frameworks governing technology policy
Target Audience
- AI ethicists
- Policy makers and regulatory bodies
- Senior AI practitioners and researchers
14 Hours
