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Course Outline
Foundational Ethics in Autonomous Systems
- Defining the concept of autonomy within AI agents
- Applying key ethical theories to machine behaviour
- Considering stakeholder perspectives and value-sensitive design
Societal Implications and High-Stakes Applications
- The role of autonomous agents in public safety, health, and defence
- Managing Human-AI collaboration and establishing trust boundaries
- Analysing scenarios involving unintended consequences and risk amplification
Legal and Regulatory Environment
- An overview of AI legislation and policy developments (including the EU AI Act, NIST, and OECD frameworks)
- Discussions on accountability, liability, and the legal personhood of AI agents
- Examining global governance initiatives and identifying current gaps
Explainability and Decision-Making Transparency
- Addressing the challenges posed by black-box autonomous decision-making
- Designing for explainable and auditable agent behaviour
- Utilising transparency tools and frameworks (such as model cards and datasheets)
Alignment, Control, and Moral Responsibility
- Strategies for AI alignment to guide agent behaviour
- 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 Strategies
- Performing risk mapping and critical failure analysis in agent design
- Implementing safeguards and effective off-switch mechanisms
- Conducting audits for bias, discrimination, and fairness
Governance Design and Institutional Oversight
- Core principles of responsible AI governance
- Evaluating multistakeholder oversight models and audit processes
- Developing compliance frameworks specific to autonomous agents
Wrap-up and Future Directions
Requirements
- A solid grasp of AI systems and fundamental machine learning concepts
- Awareness of autonomous agents and their practical applications
- An understanding of ethical and legal frameworks within technology policy
Intended Audience
- AI ethicists
- Policy makers and regulatory bodies
- Advanced AI practitioners and researchers
14 Hours
