Category: AI Data and Society

Hype, or the future of teaching and learning? 3 Limits to AI’s ability to write student essays

The growth of original, AI-generated content demands that we reconsider methods of student assessment. Clare Williams explores the impact of ChatGPT on pedagogy, identifying three current weaknesses that instructors might bear in mind when setting stud…

AI paper mills and image generation require a co-ordinated response from academic publishers

The role of AI in the production of research papers is rapidly moving from being a futuristic vision, towards an everyday reality; a situation with significant consequences for research integrity and the detection of fraudulent research. Rebecca Lawren…

Book Review: Paradoxes of Digital Disengagement: In Search of the Opt-Out Button by Adi Kuntsman and Esperanza Miyake

In Paradoxes of Digital Disengagement: In Search of the Opt-Out Button – available open access from University of Westminster Press – Adi Kuntsman and Esperanza Miyake explore digital disconnection across fields including health, the welfare system, ci…

The Lovelace Effect – AI generated texts should lead us to re-value creativity in academic writing

The continuing development of AI generated writing has led to a debate around its use in higher education. In this post, Simone Natale and Leah Henrickson, draw on their research into computational creativity and introduce the concept of the ‘Lovelace …

To understand uses of personal data in the present, people draw on the past and imagine the future

The collection and analysis of data about us now occurs across many aspects of everyday life, but how do people come to understand these complex processes? Drawing on Living With Data research, Susan Oman, Hannah Ditchfield and Helen Kennedy show that …