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Duration 14 hours
Course Outline
Foundations of Ethics in Autonomous Systems
- Defining autonomy in the context of AI agents
- Application of key ethical theories to machine behavior
- Stakeholder perspectives and value-sensitive design principles
Societal Risks and High-Stakes Use Cases
- The role of autonomous agents in public safety, health, and defense
- Human-AI collaboration and establishing trust boundaries
- Analyzing scenarios involving unintended consequences and risk amplification
Legal and Regulatory Landscape
- Overview of AI legislation and policy trends (including the EU AI Act, NIST, and OECD)
- Exploring accountability, liability, and the concept of legal personhood for AI agents
- Identifying global governance initiatives and existing regulatory gaps
Explainability and Decision Transparency
- Addressing the challenges of black-box autonomous decision making
- Designing for explainable and auditable agent behavior
- Leveraging transparency tools and frameworks (such as model cards and datasheets)
Alignment, Control, and Moral Responsibility
- 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
- Implementing safeguards and off-switch mechanisms
- Performing bias, discrimination, and fairness audits
Governance Design and Institutional Oversight
- Establishing principles of responsible AI governance
- Utilizing multistakeholder oversight models and auditing processes
- Building compliance frameworks specifically for autonomous agents
Summary and Next Steps
Requirements
- A solid grasp of AI systems and foundational machine learning concepts.
- Working knowledge of autonomous agents and their practical applications.
- Familiarity with ethical and legal frameworks within technology policy.
Target Audience
- AI ethicists
- Policy makers and regulatory bodies
- Senior AI practitioners and researchers
