Linking artificial intelligence facilitated academic misconduct to existing prevention frameworks

• DOI: 10.1007/s40979-023-00142-3
• Publication Date: 2023-10-14T23:01:36Z
• Authors: Daniel Birks; Joseph Clare
• Keywords: Artificial intelligence; Academic misconduct; 4. Education; Prevention; Academic integrity; Theory and practice of education; 06 humanities and the arts; Higher Education; 16. Peace & justice; Social and Behavioral Sciences; 0603 philosophy, ethics and religion; Education; Detection; Large language models; LB5-3640

AbstractThis paper connects the problem of artificial intelligence (AI)-facilitated academic misconduct with crime-prevention based recommendations about the prevention of academic misconduct in more traditional forms. Given that academic misconduct is not a new phenomenon, there are lessons to learn from established information relating to misconduct perpetration and frameworks for prevention. The relevance of existing crime prevention frameworks for addressing AI-facilitated academic misconduct are discussed and the paper concludes by outlining some ideas for future research relating to preventing AI-facilitated misconduct and monitoring student attitudes and behaviours with respect to this type of behaviour.