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Course Outline
Core Ethical Foundations in Autonomous Systems
- Characterizing autonomy within AI agents
- Applying major ethical theories to machine behavior
- Considering stakeholder viewpoints and value-sensitive design
Societal Impacts and High-Stakes Applications
- Deployment of autonomous agents in public safety, healthcare, and defense
- Navigating Human-AI collaboration and trust limits
- Examining scenarios of unintended outcomes and risk escalation
Legislative and Regulatory Environment
- Surveying AI laws and policy developments (including the EU AI Act, NIST, and OECD standards)
- Addressing accountability, liability, and the concept of legal personhood for AI agents
- Reviewing global governance efforts and existing gaps
Interpretability and Decision-Making Clarity
- Overcoming the challenges of opaque autonomous decision-making
- Architecting explainable and auditable AI agents
- Leveraging transparency tools and structures (such as model cards and datasheets)
Alignment, Oversight, and Moral Accountability
- Implementing AI alignment techniques for agent behavior
- Comparing human-in-the-loop versus human-on-the-loop control models
- Distributing responsibility among designers, users, and organizations
Ethical Risk Evaluation and Reduction
- Conducting risk mapping and critical failure analysis in agent architecture
- Establishing safety mechanisms and shutdown protocols
- Auditing for bias, discrimination, and fairness
Governance Architecture and Institutional Supervision
- Outlining principles for responsible AI governance
- Implementing multi-stakeholder oversight models and audits
- Creating compliance structures for autonomous agents
Conclusions and Future Directions
Requirements
- Solid grasp of AI systems and core machine learning concepts
- Acquaintance with autonomous agents and their practical applications
- Proficiency in ethical and legal frameworks governing technology policy
Target Audience
- AI ethicists
- Policy makers and regulatory officials
- Senior AI practitioners and researchers
14 Hours
