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Abstract
Ensuring Reliability and Trustworthiness of AI systems is crucial in the era of LLMs and, of course, particularly in the realm of Agentic AI. This talk explores strategies to mitigate risks in AI-powered systems by enhancing transparency, fostering integrity, and applying watermarking for better traceability.
Topics To Be Covered
Strategies to enhance AI reliability & trustworthiness
Risk mitigation techniques for AI-powered systems
How transparency, integrity, and watermarking improve AI traceability
Who Is This For?
AI Governance & Compliance Leaders
Enterprise AI & Risk Management Teams
Machine Learning & AI Engineers
Ethics & Policy Experts in AI
Investors & Innovators in AI Security
