Every month, our AI blog provides a selection of literature and resources on artificial intelligence in teaching and learning. Here’s the roundup for September 2025: 


New Resource: AI Watchdog from The Atlantic.

Excerpt: “The Atlantic’s ongoing investigation of the books, videos, and other media used by the world’s most powerful tech companies to train their AI models.”


Huddleston S. How are instructors talking about AI in their syllabi? Chronicle of Higher Education [Internet]. 2025 Sep 2. Available from: https://www-chronicle-com.us1.proxy.openathens.net/article/how-are-instructors-talking-about-ai-in-their-syllabi   

Excerpt: “The Chronicle asked a dozen instructors and experts to describe their AI-use policies for this fall and how the guidelines appear in course syllabi — a key opportunity to set a tone for the term.”

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Schroeder R. AI companies roll out educational tools. Inside Higher Ed [Internet]. 2025 Sep 3. Available from: https://www.insidehighered.com/opinion/columns/online-trending-now/2025/09/03/ai-companies-roll-out-educational-tools 

Excerpt: “This fall, Google, Anthropic and OpenAI are rolling out powerful new AI tools for students and educators, each taking a different path to shape the future of learning.”

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Albornoz D. & Norori N. Considerations on the environmental impact of AI in science [Working paper]. Paris: International Science Council; 2025. Available from: https://doi.org/10.24948/2025.10   

Excerpt: “This paper examines the environmental implications of applying artificial intelligence (AI) in scientific research. It serves as a primer for scientists, research institutions and science policy-makers who seek to understand various approaches to addressing the environmental impact of AI in science. In addition, it offers guidance on how reducing environmental costs can contribute to the broader goals of sustainability and ethical AI use in research environments."


Varnum K. Guest post – ODI survey on AI and web-scale discovery. In: Society for Scholarly Publishing. 2025 Sep 9. Scholarly Kitchen [Internet]. Mount Laurel, NJ: Society for Scholarly Publishing. Available from: https://scholarlykitchen.sspnet.org/2025/09/09/guest-post-odi-survey-on-ai-and-web-scale-discovery   

Excerpt: “In a guest post here last fall (“Exploring the ‘Hopes and Fears’ About Generative Artificial Intelligence in Web Scale Discovery”), I extended an invitation to Scholarly Kitchen readers to participate in a NISO Open Discovery Initiative (ODI) survey about the positive and negative expectations of generative AI in discovery tools. ODI has completed its analysis and published a white paper (Generative Artificial Intelligence and Web-Scale Discovery). Many Scholarly Kitchen readers took part in this survey, so I wanted to share the key findings with this community and keep you posted on how the ODI is responding.”


Pelletier K. & Kelly K. Thinking big, starting small: insights from a summit on AI adoption in higher education. EDUCAUSE Review [Internet]. 2025 Sep 9. Available from: https://er.educause.edu/articles/2025/9/thinking-big-starting-small-insights-from-a-summit-on-ai-adoption-in-higher-education   

Excerpt: “Like the advice about eating an elephant, the best way to approach AI integration is to break it down into manageable pieces and take one step at a time.”


Hanson C. On AI, we reap what we sow. Inside Higher Ed [Internet]. 2025 Sep 10. Available from: https://www.insidehighered.com/opinion/views/2025/09/10/ai-we-reap-what-we-sow-opinion   

Excerpt: “We’re seeing the predictable results of higher ed’s decades-long focus on outcomes over process...”

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Sayab M, Vines T, Irfanullah H, Zhou H, Meadows A. Ask the Chefs: What’s a bold experiment with AI in peer review you’d like to see tested? In: Society for Scholarly Publishing. 2025 Sep 15. Scholarly Kitchen [Internet]. Mount Laurel, NJ: Society for Scholarly Publishing. Available from: https://scholarlykitchen.sspnet.org/2025/09/15/ask-the-chefs-whats-a-bold-experiment-with-ai-in-peer-review-youd-like-to-see-tested   

Excerpt: “Each year during Peer Review Week, we invite the Chefs to reflect on the most important questions facing our community. This year’s theme, Rethinking Peer Review in the AI Era, asks us to move beyond speculation and to consider how artificial intelligence is already reshaping peer review.”


Lee N. Teaching in the age of AI. Inside Higher Ed [Internet]. 2025 Sep 15. Available from: https://www.insidehighered.com/opinion/career-advice/carpe-careers/2025/09/15/strategies-personalized-learning-ai-age-opinion   

Excerpt: “Your choice of pedagogical method can support personalized learning no matter what new technology comes along...”

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Zhou H. Peer review in the era of AI: Risks, rewards, and responsibilities. In: Society for Scholarly Publishing. 2025 Sep 17. Scholarly Kitchen [Internet]. Mount Laurel, NJ: Society for Scholarly Publishing. Available from: https://scholarlykitchen.sspnet.org/2025/09/17/peer-review-in-the-era-of-ai-risks-rewards-and-responsibilities 

Excerpt: “From quality checks to detecting research misconduct to matching manuscripts with expert reviewers, AI (artificial intelligence) is reshaping how we approach peer review. As AI technologies become more sophisticated, governance and policy evolve, and human understanding deepens, how can we harness AI’s potential while preserving the human judgment so critical to peer review?”


Schroeder R. AI teaching learners today: pick your pedagogy! Inside Higher Ed [Internet]. 2025 Sep 17. Available from: https://www.insidehighered.com/opinion/columns/online-trending-now/2025/09/17/ai-teaching-learners-today-pick-your-pedagogy 

Excerpt: “AI is stepping in as a powerful new teaching assistant, capable of tailoring learning to every person’s needs.”

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IOP Publishing. AI and peer review 2025: insights from the global reviewer community. IOP Publishing[Internet]. 2025 Sep. Available from: https://ioppublishing.org/ai-and-peer-review-2025/

Excerpt: “The last few years have seen a rapid increase in the use of consumer generative AI in almost all industries. Large language models (LLMs) are now easily accessible to anyone with an internet connection and are being used in a variety of ways. Their potential role in peer review, however, raises a several of ethical and practical concerns.”


Ghosh R. Peer review in transition: Helen King and Christopher Leonard on AI and the future of peer review. In: Society for Scholarly Publishing. 2025 Sep 18. Scholarly Kitchen [Internet]. Mount Laurel, NJ: Society for Scholarly Publishing. Available from: https://scholarlykitchen.sspnet.org/2025/09/18/peer-review-in-transition-helen-king-and-christopher-leonard-on-ai-and-the-future-of-peer-review 

Excerpt: “…At the same time, there are multiple pressures — rising submissions, papermills, AI-generated manuscripts, and growing mistrust in the system. On one hand, AI is the root of some of these issues; on the other hand, it is a solution too. To explore these tensions, I spoke to two leading experts at the intersection of publishing and technology — Helen King and Christopher Leonard.”


Shah NB. Guest post — may the AI be with science. In: Society for Scholarly Publishing. 2025 Sep 19. Scholarly Kitchen [Internet]. Mount Laurel, NJ: Society for Scholarly Publishing. Available from: https://scholarlykitchen.sspnet.org/2025/09/19/guest-post-may-the-ai-be-with-science 

Excerpt: “A long time ago, in a journal not so far away, scientific review was the domain of humans alone. But now a new force, artificial intelligence (AI), has entered the scholarly galaxy. AI rises as both ally and adversary, with the power to bring balance or betrayal to scientific research. Early research on AI in science focused on reviewing — for instance, automating reviewer assignment in computer science for more than a decade — while more recent work has broadened to explore AI’s role across the entire research process.”