Trusting AI in Higher Education: Why Independent Assurance Matters

About the Event

As universities accelerate their adoption of AI, the challenge is no longer whether to embrace AI, but how to do so responsibly, securely, and with confidence. Traditional approaches to software testing and governance are not always sufficient in a world where AI systems can produce variable outcomes, introduce new risks, and influence important institutional decisions.

Join leaders from the University of Huddersfield and experts from Infuse as they share their journey from project-based testing to establishing quality assurance as a strategic capability supporting digital transformation and AI adoption. Discover how independent QA has helped the University build confidence in technology decisions, strengthen governance, improve supplier accountability, and accelerate user adoption across major transformation initiatives.

The session will explore the distinct challenges of assuring AI-enabled systems, including hallucinations and inaccurate outputs, potentially biased behaviour, security vulnerabilities, edge cases, and governance risks. It will also consider how assurance needs to evolve beyond traditional functional testing as AI becomes embedded within university services and decision-making.

Attendees will gain practical insights into how a Testing as a Service (TaaS) model can provide scalable access to specialist expertise while enabling institutions to retain appropriate oversight and control.

This session is designed for Higher Education leaders and professionals responsible for and supporting their institution's move beyond AI experimentation and towards a trusted foundation for long-term innovation and sustainable adoption at scale.