About the session
Trust in AI: Explainable & Auditable Decisions.
Most AI systems surface an answer. DecisionX shows you the work: verifiable domain modeling, deterministic execution, and query-level provenance from data to decision.
In this session, 6 chapters
0:00 Welcome, guest introduction & agenda 3:45 The two core trust questions, IP leakage & hallucination 12:44 Why AI must be “provably right,” not probably right 15:14 Live demo, DecisionX platform & provenance trail 28:59 Q&A, building trustworthy AI agents 36:04 Change management & getting ontology right
Speakers
Host Rishank Pandey
Chief Ontologist | DecisionX
Speaker Ranjan Kumar
Founder and CEO | DecisionX
Guest speaker Anand Prasad
AI Product Leader | Impact Analytics
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