This deep-dive webinar brings together education leaders, policymakers, and AI ethics experts to explore the critical intersection of AI assurance and educational applications. The session will thoroughly examine how the education sector can effectively implement AI assurance mechanisms in their context to build trust while addressing the unique ethical considerations and safety requirements in learning environments.
The education sector represents a particularly crucial domain for AI assurance due to its profound impact on vulnerable populations and future generations. With AI increasingly influencing everything from personalised learning pathways to high-stakes assessment and resource allocation decisions, applying robust assurance frameworks is essential to protect student welfare, ensure equitable outcomes, and maintain public trust in educational institutions. The consequences of algorithmic bias or inadequate safeguards in education are especially significant as they can shape life opportunities and perpetuate systemic inequalities at formative stages of development.
This comprehensive webinar provides a unique virtual platform for education technology professionals to engage with domain experts in an in-depth examination of current best practices. Attendees will gain detailed insights into building trust in AI systems for education, implementing robust assurance frameworks, and ensuring responsible innovation in teaching and learning technologies. The webinar will culminate in a forward-looking discussion on the future pathways for AI assurance in education, followed by a techUK supportive white paper.
This deep-dive session is particularly timely as educational institutions face increasing pressure to integrate AI systems responsibly amid evolving regulatory frameworks. With emerging AI governance policies in education, institutions must navigate complex compliance requirements while maintaining innovative approaches to teaching and learning.
