AI Evaluating AI: Trust, Testing & Impact - AI Exchange 2026
As AI agents become embedded in HR workflows, employee support, leadership development, and decision-making, a critical question emerges: How do organizations know whether AI is producing the right outcomes? Adoption metrics and efficiency gains tell only part of the story. Increasingly, HR leaders are looking for ways to measure quality, effectiveness, trust, and business impact. In this AI Exchange, we'll hear from organizations taking different but complementary approaches to AI evaluation.
Together, we'll explore:
- How organizations are measuring the quality, accuracy, and trustworthiness of AI-generated outputs
- How AI is being used to evaluate AI through continuous monitoring, feedback loops, and A/B testing
- What early results reveal about AI's impact on HR operations, leadership effectiveness, and employee experience
Join this AI Exchange for practical examples, lessons learned, and peer insights addressing an important challenge: ensuring AI delivers measurable value, earns user trust, and continuously improves over time.
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