AI Safety Course
Build safe, trustworthy AI systems by understanding ethics, alignment, hallucination reduction, governance, and responsible design.
Foundations and Ethics
Understand AI agents and the principles that make AI systems accountable.
Alignment and Accuracy
Make AI systems pursue intended goals and reduce unreliable output.
Safety and Design
Design safer single-agent and multi-agent systems with clear accountability.
Ensuring Safety of AI Systems (Single-Agent)
Failure modes, constraints, and safeguards for individual AI systems.
Safety in Multi-Agent AI Systems
Coordination, conflict, and cascading risk when multiple agents interact.
Responsible AI Design and Accountability
Decision records, responsibility chains, and governance practices for deployed systems.
Trust and Future
Prepare for governance, regulation, and the next wave of safety challenges.
Building Trust in AI Systems
Transparency, explainability, and reliable behavior as trust-building mechanisms.
AI Governance and Policy
The policy frameworks and organizational controls shaping responsible AI development.
Future Challenges and Course Summary
Emerging risks, research directions, and a synthesis of the course.