2026-09-01_Bishop’s University_support_staff

AI at the Office: Efficiency with Integrity

Workshop for support Staff at Bishop’s University

By Martine Peters

References

Slide 1 :

Slide 3 : IA2 tools

Slide 7 : IA2 in society

Slide 11 : Plagiarism 2023

  • Peters, M. (2023). Note éditoriale : Intelligence artificielle et intégrité académique peuvent-elles faire bon ménage ? Revue des sciences de l’éducation, 49(1). https://doi.org/10.7202/1107846ar

Slide 12: New way of writing

Slide 13: The era of prehistoric writing (2021)!

•   Peters, M. (2021). Partnership grant application submitted to SSHRC. https://mpeters.uqo.ca/ateliers-workshops/

Slide 14: The era of honest writing with IA2 (2023)!

•    Peters, M. (2023). Digital Scrapbooking Strategies and Artificial Intelligence Model, 2023 model : https://mpeters.uqo.ca/ateliers-workshops/

Slides 17-18: Faster principle

Slide 19 : Proportionality principle

Slide 20 : IA2 continuum

  • Sheridan, T.B. and Rouse, W.B. (2026). Human Interaction with Intelligent Automation. In Advances in Human-AI Collaboration (eds V.G. Duffy, W. Karwowski and G. Salvendy). https://doi.org/10.1002/9781394266401.ch1

Slide 21 : Taxonomy of interaction for IA2

  • Gomez C, Cho SM, Ke S, Huang C-M and Unberath M (2025) Human-AI collaboration is not very collaborative yet: a taxonomy of interaction patterns in AI-assisted decision making from a systematic review. Front. Comput. Sci. 6:1521066. doi: 10.3389/fcomp.2024.1521066

Slide 23 : Copilot

Slide 24 : Consensus

Slide 25 : Research Rabbit

Slide 26 : Perplexity

Slide 28: Elicit ❤️

Slide 29 : Analyse, use critical thinking skills

Slide 30 : Generator means not stopping at first question

Slide 31 : Six thinking hats applied to IA2 ❤️

Slide 32 : Three questions ❤️

  • Eaton, L. (2025). Results may vary. On custom instructions with GenAI tools… AI + Education = Simplified. Published Nov. 18th. https://aiedusimplified.substack.com/p/useful-but
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Slide 33 : Caydee Schwarz

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Slide  34: AI2 tools to translate and revise

Slide 35 : Chat with any PDF

•           Chat with any PDF (2023). https://www.chatpdf.com/

Slide 36 : Detection tools…

Slide 37 : Try it out!!!

Slide 38 : Classifying data

Slide 39 : Data classification standard

Slide 42 : Making bad decisions

Slide 44 : Epistemic vigilance

Slide 46 : Transparency

  •  Whale, Ruas, Mahammad, Meuscheke, Gipp, Koch and Hänies, 2023. Three-dimensional model by Whale et al. (2023) https://ai-cards.org/

Slides 47-48 : Transparency Mike Solomon (2023)

Slide 49 : To be transparent…

  • Peters, M. (2023). Acronymes et icônes pour un usage transparent de l’IA / Acronyms and icons for a transparent use of AI. 

Slide 50 : Transparency for images

Slide 51 : Bias, fairness and decisions

  • Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, Kristina Lerman, and Aram Galstyan. 2021. A Survey on Bias and Fairness in Machine Learning. ACM Comput. Surv. 54, 6, Article 115 (July 2021), 35 pages.https://doi.org/10.1145/34576071  

Slide 57 : Academic integrity values