🤖📚 How can universities ensure academic integrity while embracing the opportunities offered by generative AI? We are pleased to share that Eulàlia Massana Molera, collaborator at ChildTech lab and Di...

BSI's case studies. Featuring the solutions BioSig-ID, BioSight-ID, and BioProof-ID. For the vertical Higher Education with solutions for the top 4 problems impacting the industry. ​

Lithuania’s new Prime Minister has been given 6 months to fix issues with his 2015 dissertation. Could this be a new approach for political plagiarism cases?

District staff presented emerging classroom uses for AI — including teacher-created Gemini 'gems' and SchoolAI chat tools — and described benefits for lesson planning and differentiation alongside concerns about cheating, privacy and the need for ongoing professional development and policy work.

Parliament Speaker Juozas Olekas said Prime Minister Mindaugas Sinkevičius’s promise to correct errors in his doctoral dissertation was a sufficient step to address the issue, LRT reported. He also said universities should examine doctoral work more carefully before awarding degrees. Olekas made …

Today Dean talks to University of Calgary professor Dr. Sarah Eaton about academic integrity in the age of generative AI, moving beyond a simple cheating/not-cheating frame toward “post-plagiarism,” inspired by plagiarism scholar Rebecca Moore Howard’s “Don’t Police, Just Teach” approach and Eaton’s early awareness of GPT-2 in 2020. They discuss contract cheating as a pre-ChatGPT concern, including K–12 marketing to parents, and emphasize prevention through relationships, open conversations, formative assessment, and supportive accountability despite grade-driven incentives. Eaton critiques AI moral panics and notes emerging issues like AI agents and AI glasses, arguing bans can conflict with accessibility needs. She questions the value of AI disclosure given pervasive AI in tools like grammar checkers and Google, critiques detection-tool “arms race” dynamics, and highlights ethical concerns (environment, bias, labor, copyright) alongside AI’s potential benefits for equity and inclusion. 00:00 AI Disclosure Doubts 01:12 Meet Dr Sarah Eaton 04:17 Post Plagiarism Origins 06:21 AI On The Radar 07:39 Contract Cheating Era 09:03 K12 Essay Mill Marketing 10:41 Teaching Integrity Not Fear 14:16 Prevention And Support 16:03 Grades And Incentives 23:11 Tech Panics And Wearables 25:22 AI Literacy Gaps 26:19 Ethics And Resistance 28:22 Why We Must Engage 31:03 Deepfakes And Duty 32:57 Assessment In Real Time 37:03 Disclosure Debate 42:44 Detection Arms Race 45:23 Accessibility And Equity 47:35 Wrap Up And Recommendations

Since ChatGPT3′s chatbot interface appeared in November 2022, AI cheating has re-incarnated a challenge for academia. It is accentuated in non-invigilated contexts during term as projects, essays a...

Student representatives told trustees that opinions on AI vary widely: some students welcome it as a tool, others are organizing petitions to limit classroom use and express concerns about privacy and academic integrity.

The Institute of Electrical and Electronics Engineers (IEEE) has retracted 1,417 conference papers i...

Faculty speakers recommended that course-level decisions remain with instructors, while the system provide equitable access, training, FERPA-compliant data protections and enforceable processes for AI-related academic integrity issues.