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In Episode 9 of The Real BS About AI, hosts Bob Soulliere and Alethea Inns take an honest look at AI detection tools and what they mean for academic integrity at UNLV. Drawing from real testing, faculty questions, and student experiences, they explain how AI detectors work, why their results are often inconsistent, and the risks of relying on them for high stakes decisions. The conversation centers on trust, transparency, data privacy, and the importance of meaningful conversations between faculty and students rather than automated judgment. 00:00 - Welcome and end of semester reflections 01:20 - Why faculty are asking about AI detection 02:04 - What AI detection tools claim to do 03:26 - Faculty concerns about student learning 03:39 - UNLV pilot testing of AI detectors 04:10 - Testing human, AI, and mixed writing samples 04:48 - Fairness and impact on students 05:41 - Student led research on detector accuracy 06:10 - Inconsistent and unreliable results 06:29 - Testing across different writing styles 07:31 - False positives and writing style bias 07:50 - Personal examples of misclassification 08:34 - Why UNLV does not support AI detectors 09:01 - Risks to students accused incorrectly 10:09 - Why trying to beat detectors is a bad idea 10:49 - Detection tools are not proof 11:16 - Ethical use of AI in academic work 12:06 - Citation issues and misinterpreted results 12:35 - Data privacy and student intellectual property 13:23 - Risks of third party detection tools 14:12 - Campus resources for faculty and students 15:15 - Paid tools do not equal data protection 16:09 - Why these tools create institutional risk 16:50 - The value of direct faculty student conversations 17:07 - How students actually use AI responsibly 17:31 - Transparency expectations for faculty AI use 18:11 - AI as a bridge, not a replacement 19:11 - Fear, inequity, and student hesitation 19:56 - Encouraging open conversations on campus 20:44 - Why UNLV continues to evaluate but not adopt detectors 21:12 - Avoiding wasteful or harmful investments 22:38 - Brief discussion on shared AI tools 28:05 - AI as a gift and lifelong learning tool 32:12 - Accessibility and voice interaction benefits 33:38 - Reflections on the year and future episodes 35:29 - Looking ahead to 2026 and closing thoughts For more information about UNLV IT's The Real BS About AI podcast, visit https://www.it.unlv.edu/ai-technology... Produced by Rakitha Perera A UNLV IT Production --------- Like us on Facebook: /unlvit Follow us on Twitter: @unlvit and Instagram: @unlv_it it.unlv.edu