Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 14 hours
Course Outline
Foundations of Ethics in Autonomous Systems
- Defining the concept of autonomy in AI agents
- Application of key ethical theories to machine behavior
- Perspectives of stakeholders and value-sensitive design
Societal Risks and High-Stakes Use Cases
- Deployment of autonomous agents in public safety, health, and defense
- Human-AI collaboration and establishing trust boundaries
- Scenarios involving unintended consequences and risk amplification
Legal and Regulatory Landscape
- Overview of AI legislation and policy trends (EU AI Act, NIST, OECD)
- Issues of accountability, liability, and legal personhood for AI agents
- Global governance initiatives and existing gaps
Explainability and Decision Transparency
- Challenges posed by black-box autonomous decision making
- Designing for explainable and auditable agents
- Transparency tools and frameworks (e.g., model cards, datasheets)
Alignment, Control, and Moral Responsibility
- AI alignment strategies for regulating 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
- Risk mapping and critical failure analysis in agent design
- Implementation of safeguards and off-switch mechanisms
- Auditing for bias, discrimination, and fairness
Governance Design and Institutional Oversight
- Core principles of responsible AI governance
- Multistakeholder oversight models and auditing processes
- Structuring compliance frameworks for autonomous agents
Summary and Next Steps
Requirements
- A solid grasp of AI systems and fundamental machine learning concepts
- Proficiency with autonomous agents and their various applications
- Acquaintance with ethical and legal frameworks within technology policy
Target Audience
- AI ethicists
- Policy developers and regulatory officials
- Senior AI practitioners and researchers
