Introduction

In Volume I: Generative AI in Higher Education – Guiding Principles for Teaching and Learning , the groundwork was laid for understanding how higher education institutions (HEIs) can engage with Generative AI (GenAI) in principled and responsible ways. That volume argued that AI itself is neither inherently threatening nor inherently beneficial; its impact depends on how institutions adopt, govern, and integrate it into their core practices. Volume I traced the broader discourse surrounding GenAI, situating it within historical patterns of technological change, from industrialisation to digitalisation, and emphasised the importance of ethical reflection and institutional readiness. Central to Volume I was the articulation of guiding principles tailored to HEIs, with particular reference to the United Kingdom but with wider global resonance. These principles emphasised transparency, accountability, inclusivity, and academic integrity, framing GenAI not merely as a tool for efficiency but as a catalyst for reshaping the purposes and practices of higher education. The concluding chapter synthesised these arguments into actionable recommendations, urging HEIs to adopt adaptive and ethically grounded strategies that balance technological innovation with the cultivation of human-centred values. In doing so, Volume I provided the conceptual and institutional scaffolding necessary for a reflective engagement with AI.