Institutional integrity programs combining ethical AI-use guidelines, clear definitions of dishonesty, and risk-awareness education¶

Strategy · All strategies
Evidence · 1 claim (1 for) · 1 study (1 associational), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description¶

The article recommends that universities "implement educational programs to establish ethical guidelines for its responsible use, heightening the awareness of the potential risks involved with the use of AI tools." Programs should define dishonest behaviors clearly and detail penalties, since an environment of unclear rules fosters unethical behavior. Educators are advised to add anti-plagiarism measures, adapt assessment, and follow four formative lines of action: conversations about plagiarism, teaching citing and referencing skills, feedback opportunities, and formative and summative assessment.

Design Implications¶

Context¶

Requirements¶

• Clear institutional definitions of dishonest behaviors and stated penalties
• Educator engagement in formative integrity practices (conversations, citation instruction, feedback, assessment)

Constraints¶

• The article notes universities and society are still formulating clear guidelines on appropriate and inappropriate uses of AI tools

Target Learners¶

• undergraduate university students

Target Learning Goals¶

• academic integrity
• responsible and ethical use of AI tools such as ChatGPT

Affordances¶

• Rct Chatgpt Usage Decisions

Claims¶

• Students most often urge institutions to teach responsible AI use (N=41) and provide clear rules and guidelines (N=27) [+W]

Related Strategies¶

• Develop clear institutional GenAI policies, communicate them, raise awareness, and promote digital literacy
• Build ethical AI integration on four coordinated levels: faculty professional development, ethics curricula, clear institutional guidelines, and interdisciplinary updating
• Prepare teachers to use AI expeditiously and provide AI-text detectors for evaluation, alongside updated academic-integrity rules
• Position AI detection tools as one component within a broader institutional decision-making process, with regularly updated benchmarks
• Combine psychologically informed, ethically grounded, and institutionally supported interventions to reduce AI-assisted academic dishonesty
• Implement preventative measures: student awareness programs and regular professional development training for educators
• Universities should provide vivid guidelines and education on how and where ChatGPT may be used for learning
• Prevent AI-assisted plagiarism through student education, signed declarations, draft submissions, clear guidelines, and close monitoring

Examples¶

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Key Sources¶

• Ortiz-Bonnin, S., & Blahopoulou, J. (2025). Chat or cheat? Academic dishonesty, risk perceptions, and ChatGPT usage in higher education students. Social Psychology of Education. https://doi.org/10.1007/s11218-025-10080-2