Cheating / plagiarism
Use of generative AI in an academic setting to either cheat or plagiarize
ENTITY
1 - Human
INTENT
1 - Intentional
TIMING
2 - Post-deployment
Risk ID
mit1350
Domain lineage
4. Malicious Actors & Misuse
4.3 > Fraud, scams, and targeted manipulation
Mitigation strategy
1. Redesign Academic Assessment and Policy: Establish and clearly communicate explicit, assignment-specific policies regarding generative AI use (e.g., prohibited, permitted with attribution, or encouraged), and redesign assessments to prioritize critical thinking, application, or personalized/localized content that is resistant to generic AI-generated responses. 2. Implement a Hybrid Detection and Verification Framework: Utilize AI detection software to flag potentially non-original submissions, while mandating that final determinations of academic misconduct rely on human judgment supported by objective, verifiable evidence, such as the student's inability to verbally defend their work, inconsistencies with prior submissions, or the inclusion of non-existent sources. 3. Promote Ethical AI Literacy and Transparency: Proactively educate students on the ethical implications of generative AI, the principles of academic integrity, and the requirement for proper attribution and citation of any AI assistance, thereby fostering a culture of honesty and responsibility.