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Managing a New Class of AI-Specific Technical Debt
Tuesday, June 02, 2026 / 04:00 PM - 04:30 PM PDT
About the Session
This session extends proven technical debt frameworks to address AI-specific risks. Attendees will learn practical criteria for detecting, classifying and prioritizing AI technical debt — including AI-generated code quality, model obsolescence risk, output reliability and cost trajectories. Software leaders will gain strategies to enhance their existing governance processes to manage AI technical debt before poor implementations compound into architectural crises.