TY - JOUR
T1 - AI detectors in universities: Time to turn them off and embrace AI for enhanced learning
AU - Blommerde, Tadhg
AU - Bright, William
AU - Musgrave, Ellie
AU - Mitchell, Rosie
AU - Heselton, Rebecca
PY - 2024/12/15
Y1 - 2024/12/15
N2 - The global debate around the use of artificial intelligence (AI) detection software in universities is intensifying (Bowen and Watson, 2024), prompting many institutions to reevaluate their stance on these tools (Ghaffary, 2023). Though this article may be difficult reading for academic staff who unquestioningly accept AI detection tools (Roe et al., 2024), it recommends that universities worldwide discontinue their use. The reasons are compelling: inaccuracies and biases inherent in these tools, ethical concerns, and the necessity to embrace a more integrated and constructive approach to AI in education. By turning off AI detection software, universities can cultivate more equitable, transparent, and future-ready educational environments that truly enhance learning while maintaining academic integrity.
AB - The global debate around the use of artificial intelligence (AI) detection software in universities is intensifying (Bowen and Watson, 2024), prompting many institutions to reevaluate their stance on these tools (Ghaffary, 2023). Though this article may be difficult reading for academic staff who unquestioningly accept AI detection tools (Roe et al., 2024), it recommends that universities worldwide discontinue their use. The reasons are compelling: inaccuracies and biases inherent in these tools, ethical concerns, and the necessity to embrace a more integrated and constructive approach to AI in education. By turning off AI detection software, universities can cultivate more equitable, transparent, and future-ready educational environments that truly enhance learning while maintaining academic integrity.
M3 - Article
SN - 1469-3267
VL - 25
SP - 8
EP - 11
JO - Educational Developments
JF - Educational Developments
IS - 4
ER -