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Duration 14 hours
Course Outline
Foundations of Ethics in Autonomous Systems
- Characterizing autonomy within AI agents
- Application of major ethical theories to machine behavior
- Stakeholder viewpoints and value-sensitive design principles
Societal Risks and High-Stakes Use Cases
- Deployment of autonomous agents in public safety, healthcare, and defense
- Navigating human-AI collaboration and defining trust boundaries
- Understanding scenarios of unintended outcomes and risk amplification
Legal and Regulatory Landscape
- Surveying AI legislation and policy trajectories (including the EU AI Act, NIST, and OECD frameworks)
- Issues of accountability, liability, and the legal status of AI agents
- International governance efforts and existing regulatory gaps
Explainability and Decision Transparency
- Addressing the challenges of opaque, black-box autonomous decision-making
- Engineering for explainable and auditable agents
- Leveraging transparency tools and frameworks (such as model cards and datasheets)
Alignment, Control, and Moral Responsibility
- 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, users, and institutions
Ethical Risk Assessment and Mitigation
- Conducting risk mapping and critical failure analysis in agent design
- Implementing safeguards and off-switch mechanisms
- Auditing for bias, discrimination, and fairness
Governance Design and Institutional Oversight
- Core principles of responsible AI governance
- Developing multistakeholder oversight models and audit processes
- Crafting compliance frameworks specifically for autonomous agents
Summary and Next Steps
Requirements
- Proficiency in AI systems and foundational machine learning concepts
- A working knowledge of autonomous agents and their various applications
- Insight into ethical and legal frameworks governing technology policy
Target Audience
- AI ethicists
- Policy makers and regulatory officials
- Senior AI practitioners and researchers
