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Starts 6 June 2025 12:46
Ends 6 June 2025
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Overview
Discover theoretical aspects of trustworthy AI in this insightful talk by Susmit Jha from SRI International, exploring key concepts and challenges in the field.
Syllabus
- Introduction to Trustworthy AI
- Key Concepts in Trustworthy AI
- Theoretical Foundations
- Challenges in Trustworthy AI
- Case Studies and Applications
- Future Directions in Trustworthy AI
- Conclusion
Definition and importance of trustworthy AI
Overview of trust in AI systems
Fairness and bias mitigation in AI
Explainability and interpretability
Robustness and reliability in AI models
Formal methods in AI
Verification and validation techniques
The role of logic and reasoning in trustworthy AI
Scalability of trustworthy systems
Handling uncertainty and probabilistic reasoning
Addressing ethical and societal implications
Real-world examples of trustworthy AI systems
Analysis of failures and trust breaches in AI
Emerging technologies and their impact on trust
Advancements in AI safety and governance
Recap of key concepts
Open questions and areas for further research
Subjects
Computer Science
