AI and the Humanities: A Framework for Language and Literary Scholarship – MLA Task Force on AI in Research and Teaching

Rotating the Space: On LLMs as a Medium for Thought

Essays and writing on AI

Towards Critical Artificial Intelligence Literacies

Critical Artificial Intelligence Literacies (CAILs) is the collection of ways of thinking about and relating to so-called artificial intelligence (AI) that rejects dominant frames presented by the technology industry, by naive computationalism, and by dehumanising ideologies. Instead, CAILs centre human cognition and uphold the integrity of academic research and education. We present a selection of CAILs across research and education, which we analyse into the following non-orthogonal dimensions: conceptual clarity, critical thinking, decoloniality, respecting expertise, and slow science. Finally, we note how we see the present with and without a wider adoption of CAILs — a fundamental aspect is the assertion that AI cannot be allowed to drive change, even positive change, in education or research. Instead cultivation of and adherence to shared values and goals must guide us. Ultimately, CAILs minimally ask us to contemplate how we as academics can stop AI companies from wielding so much power.

Literature fans should welcome AI as a fellow wordsmith | Aeon Essays

Strong resistance to AI among writers is understandable. But it obscures what we share with the machines: language itself

AI, Ethics, and Society — Home

Writing With and Beyond AI: Fieldnotes from Computer-Mediated Poetry

Apr 10, 2026, 12:15 pm - Large language models can make writing mind-numbingly efficient — but the point of writing with AI should be to write what we couldn’t have written alone (without generating bland, derivative “slop”).

No. 030: Google Deep Review, AI research taste, AI in dissertations - The Hallway Track

The Hallway Track No. 030 - How AI is affecting the practice of science

We Need to Talk About How We Talk About 'AI'

We share a responsibility to create and use empowering metaphors rather than misleading language, write Emily M. Bender and Nanna Inie.

Charting AI’s Role in Scientific Discovery — Renaissance Philanthropy – A brighter future for all through science, technology, and innovation

Renaissance Philanthropy, with support from Google.org , is conducting a landscape study of AI integration in scientific research — and we want your perspective.

The Published Voice: Whose Voice Are We Really Reading? - The Scholarly Kitchen

What happens then to “author voice,” which has always been an important consideration to authors and reviewers alike, if AI is helping researchers with their writing?

Is there something it is like to be an AI?

Posted on Wednesday 2 Jul 2025. 1,593 words, 6 links. By Matt Webb.

The TLS and Generative AI: Editorial guidelines

Dated: May 1, 2026 These guidelines outline the TLS’s approach to artificial intelligence (AI), based on the standards of literary excellence we have

Award-Winning AI Literature

Literary prizes won by works made with AI, or suspected of it.

The 2026 AI Index Report | Stanford HAI

Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.

AI Research Agents Narrow Scientific Exploration

AI research agents now support large-scale AI-assisted scientific discovery. We examine whether AI-generated ideas broaden scientific exploration or primarily reinforce existing work. Using five agent frameworks and five large language models, we generate 219,655 ideas for different scientific fields. Across experiments, four consistent patterns emerge. First, AI-generated ideas are more concentrated than human-authored papers within the same research area. Second, they remain much closer to starting literature than later human follow-on work does. Third, AI-generated ideas align less with future human research. Last, AI-generated ideas are located in lower-impact regions of the historical scientific landscape. Overall, current AI research agents appear better suited to local elaboration than to broadening scientific exploration.

Semantic Scholar | AI-Powered Research Tool

Semantic Scholar uses groundbreaking AI and engineering to understand the semantics of scientific literature to help Scholars discover relevant research.