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Duration 14 hours
Course Outline
Core Ethical Principles in Autonomous Systems
- Defining the scope of autonomy in AI agents
- Applying key ethical theories to machine behavior
- Considering stakeholder perspectives and value-sensitive design
Societal Risks and Critical Application Scenarios
- Role of autonomous agents in public safety, healthcare, and defense
- Navigating human-AI collaboration and trust boundaries
- Addressing scenarios involving unintended consequences and risk escalation
Legal and Regulatory Environment
- Overview of AI legislation and policy trends (including EU AI Act, NIST, OECD)
- Addressing accountability, liability, and the legal status of AI agents
- Reviewing global governance initiatives and existing gaps
Explainability and Decision-Making Transparency
- Overcoming challenges in black-box autonomous decision-making
- Designing agents that are explainable and subject to audit
- Utilizing transparency tools and frameworks (such as model cards and datasheets)
Alignment, Control, and Moral Accountability
- Implementing AI alignment strategies for agent behavior
- Comparing human-in-the-loop and human-on-the-loop control paradigms
- Distributing responsibility among designers, users, and institutions
Ethical Risk Assessment and Mitigation Strategies
- Conducting risk mapping and critical failure analysis in agent design
- Establishing safeguards and off-switch mechanisms
- Auditing for bias, discrimination, and fairness
Governance Architecture and Institutional Oversight
- Foundational principles of responsible AI governance
- Multistakeholder oversight models and audit processes
- Building compliance frameworks for autonomous agents
Conclusions and Path Forward
Requirements
- A solid grasp of AI systems and machine learning fundamentals
- 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 officials
- Senior AI practitioners and researchers
