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Virtual Event

IEEE Online Session on Trustworthy AI

This talk presents a five-stage AI Development Life Cycle to help cross-functional teams move AI projects from experimentation into controlled, trustworthy production systems with robust governance and safety controls.

Schedule
Sep 11, 2026 @ 07:00 PM - 08:00 PM
Location
Online via Google Meet
Status
Past Event
Participation
Externally Managed
IEEE Online Session on Trustworthy AI

Topic: Engineering Trustworthy AI: An Evidence-Driven SDLC for AI-Enabled Systems

Speaker: Dr. Ashwini Kumar Rath (Founder and CEO, Batoi)

Abstract: AI is reshaping how systems are specified, built, and operated. This talk introduces an evidence-driven lifecycle to embed trust, accountability, and continuous evaluation into AI-enabled applications.

The session is intended for students, researchers, and professionals.