Embedding AI Impact & Analysis Standards in Undergraduate Tertiary Education

Presentation 20 - 30 minutes (Plus Q&A) or could be a workshop (60 mins) Together with James Gauci from industry partner Ethe, we propose a session on embedding AI impact & analysis standards in undergraduate tertiary education. This session will be based on our experience teaching first-year Computer Science students the foundations of responsible AI using AS/ISO/IEC 42005 on AI management systems applied to real world case studies. We will outline how we translated abstract governance principles into practical, student-friendly learning activities, co-designed with industry. AI safety and governance are often introduced too late in the education pipeline. By integrating these concepts from first year, we equip future developers with a mindset of accountability, risk awareness, and human-centred design from the outset. We demonstrate how standards can be made accessible without diluting their intent. Our work aligns closely with the forum’s goals of advancing safe, trustworthy, and inclusive AI by showcasing a scalable model for building capability at the grassroots level.It also highlights the value of academia–industry collaboration in shaping workforce-ready graduates.