Singapore Management University (SMU) said that it continues to use AI detection tools, but “never as the sole basis” for finding misconduct.
Associate Professor Michelle Lee, SMU’s associate provost for undergraduate education, said that the tools are strictly “one input among several”.
The assurance that a student’s work is their own also rests on how assessments are designed and asking the student to account for their work directly.
“Detection software has never carried this responsibility on its own at SMU,” Assoc Prof Lee said, confirming that SMU has no plans to change its approach.
“We believe the most reliable way to assure academic integrity is to design assessments that require students to demonstrate genuine competencies, not to detect whether AI was used after the fact.”
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