iiinova — where your digital self keeps evolving

Part of the brilliant Post-Master programme’s end-of-year exhibition, “Unless I’m mistaken,” curated by Charles Rouleau and Filipa Lima – the works can be seen until the 14th of June. (6/6)

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I was especially fascinated by her takes on of what we term “illusions of creatorship” in our article – and the argument that, sometimes, AI systems do deserve a slice of the credit. (5/6)

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It was such a pleasure to hear Mona discuss her pieces at the opening on Friday, and to learn that the Collective Centred Creation framework for attributing credit in the age of AI, developed by Donal Khosrowi, Elinor Bell-Clark and myself, served as some fruitful inspiration in her process. (4/6)

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Opposite them is the remains of an artwork facing the pressure of contested authorship; while a modified version of the ‘droit d’auteur’ hangs on the wall, shifting focus away from creation and juridical reality to declaration and appearance of creatorship. (3/6)

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In a multichannel video installation, the faces of self-declared “real, true, authentic, actual, legitimate humans” – made with AI – assert the essentiality of their contributions from a witness stand. (2/6)

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AI complicates questions around artistic authorship: Are studio assistants and AI tools facilitators of an artist’s vision, or do they deserve a place on the museum label, too? Where does support end and creative intervention begin? These are the questions that artist Mona Young-eun Kim explores:

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Many thanks Tom! And would love to hear your thoughts

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Many thanks to the editors of this timely special issue - Katie Mackinnon, Nanna Thylstrup, Tonia Sutherland, Caroline Bassett, Unso Jo, and Louis Ravn - for curating such an exciting mix of interdisciplinary perspectives on how AI-systems and archival practices are reshaping one another.

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Co-authored with Donal Khosrowi, the contribution highlights the limitations of archival RAG-based LLM chatbots for providing answers to historical questions, demonstrating how such ‘instant histories’ skip vital steps of research processes and obscure the many complexities of archival collections.

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AI assistants in the archive and the lure of “instant history” | Cambridge Forum on AI: Culture and Society | Cambridge Core

Thrilled to see our article “AI assistants in the archive and the lure of ‘instant history’" out in Cambridge Forum on AI: Culture and Society! It is open access and available here: doi.org/10.1017/cfc....

doi.org

AI assistants in the archive and the lure of “instant history” - Volume 2

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Reposted by Finola Finn

Thiago Krause @thiagokrause.bsky.social · 02/02/2026

“We need to teach skepticism and critical thinking as philosophical responses to machine intelligence. Instead of just changing our assignments, we must do something more provocative and arguably far more challenging. We must reflect on how we think and find value in thinking.”

marcwatkins.substack.com

Working with AI is more Mindset than Skill

We need to teach skepticism and critical thinking as philosophical responses to machine intelligence.

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Reposted by Finola Finn

Daniel Bellingradt @dbellingradt.bsky.social · 02/02/2026

You see a page from the past with a lasting impression: this manuscript page from the 1490s is made of parchment, and an #astrolabe that was included into the binding of the manuscript left this shadow of the astronomical instrument behind. 1/2

A page from the so-called Heidelberger Schicksalsbuch (UB Heidelberg Cod. Pal. germ. 832) showing clearly the traces an astrolabe left.

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(4/4) - Iqra Aslam, Rahul Nagshi, and Donal Khosrowi’s critical examination of Machine Unlearning - Bonam Mingole et al.’s work on the value of democratising bias detection and critique of LLMs A lot to take away! All full papers available here: www.aies-conference.com/2025/proceed...

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(3/4) - Maria Eriksson et al.’s thorough and policy-focused review of current issues in AI benchmarking - Hyo Jin Do and Werner Geyer’s recommendations for how best to present factuality estimates to users in AI-generated answers

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(2/4) Among the many thought-provoking contributions, I was particularly struck by: - Shreya Chappidi et al.’s “accountability capture”, a framework for understanding the under-considered effects of implementing algorithmic record-keeping on sociotechnical systems

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