Research Agenda for Artificial Intelligence and Academic Integrity - Rahul Kumar;Sarah Elaine Eaton

This illuminating Research Agenda provides an evidence-based roadmap for scholarship related to academic integrity, plagiarism and research ethics in the age of generative artificial intelligence (GenAI) and advanced technologies. Moving beyond detection and compliance-oriented approaches, leading experts propose forward-thinking solutions for GenAI and academic probity.

Contributors adopt the award-winning ‘postplagiarism’ framework, demonstrating how educators can uphold and enact academic principles and promote ethical student conduct in contexts where GenAI is ubiquitous. Chapters draw on perspectives from the Global North and South to explore assessment security, academic misconduct, cheating and student success. Emphasising the necessity of adaptable ethical frameworks and improved AI literacy, the Research Agenda outlines urgent and emerging priorities which have the potential to redefine the nature of authorship and responsible research.

A Research Agenda for Artificial Intelligence and Academic Integrity is an essential resource for scholars and students of GenAI and education. Educational leaders and curriculum policymakers will similarly benefit from its grounded analysis and actionable recommendations.