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Course Outline
Foundational Ethics in Autonomous Systems
- Characterizing autonomy within AI agents
- Applying core ethical theories to machine conduct
- Incorporating stakeholder viewpoints and value-sensitive design
Societal Implications and High-Stakes Scenarios
- Deployment of autonomous agents in public safety, healthcare, and defense
- Navigating human-AI collaboration and establishing trust boundaries
- Addressing scenarios of unintended outcomes and amplified risks
Legal and Regulatory Context
- Survey of AI legislation and policy trends (including the EU AI Act, NIST standards, and OECD guidelines)
- Issues of accountability, liability, and legal personhood for AI agents
- Global governance efforts and existing regulatory gaps
Explainability and Decision Transparency
- Addressing challenges in black-box autonomous decision-making
- Creating explainable and auditable agent architectures
- Leveraging transparency tools and frameworks (such as model cards and datasheets)
Alignment, Control, and Moral Accountability
- Strategies for aligning AI agent behavior with desired outcomes
- Comparing human-in-the-loop versus human-on-the-loop control models
- Distributing responsibility among designers, operators, and institutions
Ethical Risk Evaluation and Mitigation
- Mapping risks and analyzing critical failure points in agent design
- Implementing safeguards and emergency stop mechanisms
- Conducting audits for bias, discrimination, and fairness
Governance Architecture and Institutional Oversight
- Core principles of responsible AI governance
- Implementing multistakeholder oversight models and audit procedures
- Constructing compliance frameworks specific to autonomous agents
Conclusion and Future Directions
Requirements
- Proficiency in AI systems and fundamental machine learning concepts
- Working knowledge of autonomous agents and their practical applications
- Insight into ethical and legal frameworks shaping technology policy
Target Audience
- AI Ethics Specialists
- Policy Makers and Regulatory Bodies
- Senior AI Practitioners and Researchers
14 Hours
