AI Trust and Governance in QE: Who Actually Signs Off?

Every QE organization is now shipping software that AI helped write, test, and increasingly approve. Most are doing it without a clear answer to a simple question: who is accountable when the AI gets it wrong? “AI governance” has become a boardroom phrase, but on the ground it tends to collapse into either compliance theater or nothing at all.

In this fireside chat, Harleen Bedi, Associate Vice President & Unit Technology Officer - Quality Engineering, at Infosys, unpacks what trust and governance actually mean for teams adopting AI across the quality lifecycle, the controls that earn their keep, the decisions that should never be fully delegated to a model, the evidence teams need when someone asks how they know a release is safe, and how the QE role itself is being redefined as the accountability layer for AI-built software.