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Posts by Claudia Carroll

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📣 2 PhD Opportunities at AI4DH at the University of Ljubljana

2 PhD positions are open for applications at the European Centre of Excellence in Artificial Intelligence for Digital Humanities (AI4DH) at the University of Ljubljana.

🔜 Deadline: 22 May
ℹ️ Find out more: ai4dh.eu/2026/04/07/o...

6 days ago 5 10 0 2
2027 CDN Guest Researcher Fellowship

Are you an early career research who would like to spend a semester at the Center for Digital Narrative at the University of Bergen? We have a call out now for a stipend to cover mobility expenses for 3-4 months in the first half of 2027. Apply before 15 May! skjemaker.app.uib.no/view.php?id=...

1 week ago 12 20 2 1
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Call: A rare and highly strategic opportunity at the intersection of AI and the humanities!

The Met is opening postdoctoral positions to explore how AI can reshape research, collections, and audience engagement.

Deadline: April 15, 2026

#DigitalHumanities
👉 www.nyfa.org/jobs/job-inf...

2 weeks ago 11 21 0 0

Anybody got any good reading recs on the ethics of pirating or P2P sharing copyrighted text and other artistic data (i.e. libgen) from a DH perspective? Trying to find some good pieces to introduce the issue to students. Got plenty on the AI training scandal, but looking for other angles…

2 weeks ago 0 0 0 0

This was an interesting breakdown of Claude Code’s leak, and I’m still loling at the “sentiment analysis“ code.

If you want Claude to know you’re mad, you better say “wtf,“ “shit,“ “fuck,” “horrible,“ “awful,“ or “terrible.” Don‘t try to get fancy with “atrocious“ or “balls.”

2 weeks ago 47 16 4 2
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No Humans-in-the-Loop: The People-less Stories Generated by GPT No Humans-in-the-Loop: The People-less Stories Generated by GPT

If anybody in the Princeton area is interested in how LLMs write fiction, Gabi Kirilloff and I are giving a talk on the topic tomorrow (Tuesday 31st) at 4.30pm in the Firestone library! @princetoncdh.bsky.social

3 weeks ago 6 0 0 1

I feel like I should be seeing this paper cited more often by CSS folks!!!

3 weeks ago 18 3 1 1
Alignment Whack-a-Mole : Finetuning Activates Verbatim Recall of Copyrighted Books in Large Language Models Frontier LLM companies have repeatedly assured courts and regulators that their models do not store copies of training data. They further rely on safety alignme

Whoa. "[F]inetuning exclusively on Haruki Murakami's novels unlocks verbatim recall of copyrighted books from over 30 unrelated authors...Our findings offer compelling evidence that model weights store copies of copyrighted works."

papers.ssrn.com/sol3/papers....

3 weeks ago 85 37 6 7

Job Announcement: Call for Predoctoral Fellowships at the International Max Planck Research School for Multimodal Digital Humanities (IMPRS-MDH) www.mdh.uzh.ch/en/op...

3 weeks ago 4 6 0 1
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Thank you!!

4 weeks ago 1 0 0 0

Thanks!! :)

4 weeks ago 2 0 0 0

(2/2) We are super excited to continue our work in the AIH Lab at our new institution, and grateful to everyone at WashU who has supported us as we built the lab over the last two years!

4 weeks ago 7 0 1 0
HOME | gkirilloff

(1/2) Delighted to announce that both I and my AI Humanities Lab co-PI Gabi Kirilloff have accepted positions as Assistant Professor of Computational Humanities at Carnegie Mellon's English dept starting Fall 26!

4 weeks ago 34 4 4 0
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The Journal of World Literature invites abstracts for a special issue on Artificial Intelligence and World Literature.

We welcome work on LLMs & literary analysis, multilingualism, AI imaginaries, canonicity, and beyond.

Submit your abstract to guest editors’ emails by September 1, 2026.

4 weeks ago 15 10 2 0
The Author Function: Humanity (and Humanities) in the Age of AI
The Author Function: Humanity (and Humanities) in the Age of AI YouTube video by Linda Hall Library

Apparently my talk on AI and the author function was recorded and is available from Linda Hall Library: www.youtube.com/watch?v=q3te...

1 month ago 52 17 1 0

Very good study!!!

"How LLMs Distort Our Written Language."

READ THIS STUDY. This is an A+ study. Plus there is enough information in the appendices to replicate it!

arxiv.org/pdf/2603.18161

1 month ago 6 3 0 0

I’m speaking in person tomorrow at CMU!

“Language Models as Cultural Technologies: Case Studies in Storytelling and Poetry”

And today at the University of Pittsburgh!

“Language Models and the Culture of Science: Adoption, Homogenization, and Policy”

1 month ago 52 3 1 0
Data Organization in Spreadsheets
Karl W. Broman
& Kara H. Woo
Pages 2-10 | Received 01 Jun 2017, Accepted author version posted online: 29 Sep 2017, Published online: 24 Apr 2018

    1. Introduction
    2. Be Consistent
    3. Choose Good Names for Things
    4. Write Dates as YYYY-MM-DD
    5. No Empty Cells
    6. Put Just One Thing in a Cell
    7. Make it a Rectangle
    8. Create a Data Dictionary
    9. No Calculations in the Raw Data Files
    10. Do Not Use Font Color or Highlighting as Data
    11. Make Backups
    12. Use Data Validation to Avoid Errors
    13. Save the Data in Plain Text Files

ABSTRACT

Spreadsheets are widely used software tools for data entry, storage, analysis, and visualization. Focusing on the data entry and storage aspects, this article offers practical recommendations for organizing spreadsheet data to reduce errors and ease later analyses. The basic principles are: be consistent, write dates like YYYY-MM-DD, do not leave any cells empty, put just one thing in a cell, organize the data as a single rectangle (with subjects as rows and variables as columns, and with a single header row), create a data dictionary, do not include calculations in the raw data files, do not use font color or highlighting as data, choose good names for things, make backups, use data validation to avoid data entry errors, and save the data in plain text files.

Data Organization in Spreadsheets Karl W. Broman & Kara H. Woo Pages 2-10 | Received 01 Jun 2017, Accepted author version posted online: 29 Sep 2017, Published online: 24 Apr 2018 1. Introduction 2. Be Consistent 3. Choose Good Names for Things 4. Write Dates as YYYY-MM-DD 5. No Empty Cells 6. Put Just One Thing in a Cell 7. Make it a Rectangle 8. Create a Data Dictionary 9. No Calculations in the Raw Data Files 10. Do Not Use Font Color or Highlighting as Data 11. Make Backups 12. Use Data Validation to Avoid Errors 13. Save the Data in Plain Text Files ABSTRACT Spreadsheets are widely used software tools for data entry, storage, analysis, and visualization. Focusing on the data entry and storage aspects, this article offers practical recommendations for organizing spreadsheet data to reduce errors and ease later analyses. The basic principles are: be consistent, write dates like YYYY-MM-DD, do not leave any cells empty, put just one thing in a cell, organize the data as a single rectangle (with subjects as rows and variables as columns, and with a single header row), create a data dictionary, do not include calculations in the raw data files, do not use font color or highlighting as data, choose good names for things, make backups, use data validation to avoid data entry errors, and save the data in plain text files.

Every day is a good day for sharing one of the most useful papers about research data ever written. PLEASE get your people to understand and follow this advice.

www.tandfonline.com/doi/full/10....

1 month ago 1050 402 31 47
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Happy St. Patrick's Day, New York.

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Quite concerning results about the use of LLMs for text annotation: almost all models produce outcomes that reproduce racial stereotypes.

1 month ago 11 4 0 0
Vacancy — Postdoctoral Researcher in Open AI research for social sciences and humanities <p>The Humane AI research priority area of the University of Amsterdam is looking for a new PostDoc to amend our existing team (<a href="https://humane-ai.nl/">https://humane-ai.nl/</a>). AI is everywhere. Chatbots, translation tools, shopping assistants, hyper-personalised services - as Large Language Models become widely accessible, they're reshaping how we live, work, play and connect. This rapid shift sparks big questions: Whose norms and values shape this AI-driven society—and who gets left behind? What are the rules that govern the development and deployment of Generative AI different sectors of society, and towards what kind of society will they steer us? Is the risked-based approach to AI. </p>

Come be my colleague!
Postdoc position at the University of Amsterdam: Open-source AI for Social Sciences & Humanities.

Work on open LLM infrastructure, reproducible research tools, and ethical AI for SSH.

🗓 Tight deadline: Apply by April 3

werkenbij.uva.nl/en/vacancies...

1 month ago 20 14 0 0

This spreadsheet is insane. Search for your cancelled NEH grant here! 👇

1 month ago 34 21 2 2

Not at all surprising but its very useful to have data!!

1 month ago 1 0 0 0
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🥁🥁🥁 Newly out from us today in Science Advances: “Biased AI Writing Assistants Shift Users’ Attitudes on Societal Issues”.

Large Language Models are providing users with autocomplete writing suggestions on many platforms. Could these suggestions shift users’ own attitudes? (spoiler: YES) (1/7)

1 month ago 188 104 4 19

Someone just posted about how they don't care if their students use AI as long as the text conveys the ideas the students meant to convey. The thing is, you don't know exactly what you think until you write it. And if some prefab thing pops up, you're liable to decide that was what you thought.

1 month ago 846 226 33 12

It is interesting to see emotional engagement with AI chat bots universally decried, while engagement with fictional character is often considered cognitively and morally instructive (empathy, emotional intelligence etc.)

1 month ago 2 0 0 0
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The difficulty of finding language that describes both the fictional character and the interactive AI model that is not near identical to the language we use to describe real people is another parallel here that facilitates slippage in both cases, I think.

1 month ago 1 0 1 0
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No Humans-in-the-Loop: The People-less Stories Generated by GPT No Humans-in-the-Loop: The People-less Stories Generated by GPT

Numerous sources have claimed that GPT-produced text is indistinguishable from human-written text across several genres. On 3/31, Gabi Kirilloff & @claudia42.bsky.social give a talk arguing that not only does GPT not write fictional narratives like a human, it also often fails to write about humans.

1 month ago 6 2 0 0
Original post on fedihum.org

We’re looking for a Research Data Engineer (m/f/x) (3,5 years). If you have a #DigitalHumanities profile with experience in #TEI encoding, #OCR / #HTR, and #IIIF (or any of those and are willing to learn the rest), get in touch! The full time position can be split, so if (for whatever reason) […]

1 month ago 2 19 1 0