Jörg Lehmann

My handbook article "Digital cultural heritage as a concept" does not only discuss digitised and born-digital cultural heritage and takes into account thorny legal issues like copyright and intangible heritage, but pushes at the same time the notion of the commons forward:

https://doi.org/10.4337/9781800374225.00012

#digitalculturalheritage #bigdata #copyright

Merry Christmas to our orthodox friends everywhere in the world, but especially in two countries.

መልካም ገና - Melkam Gena!

ርሑስ ባዓል ልደት - Rhus ba'el ldet!

Веселого Різдва - Veseloho Rizdva!

May peace come soon to all of you.

In 2026, I will assist three octogenarians in handling Windows 11 on their brand new machines.
That‘ll be a real challenge.
Does #microsoft compensate me for that?
Will my suffering be sanctified?

#postdigitalmartyrs

Dem stummen numidischen Schreiber Bigdatha (aus dem "Papyrus des Cäsar) stellt der neue Band #Asterix in Lusitanien nun Marcus Zuckergus zur Seite, der sämtliche Informationspapyri der römischen Welt kontrolliert, sowie Elonmus, natürlich...

#bigdata #bigbrother #Haudraufundschlus

Two further results from the project "Human.Machine.Culture" (https://mmk.sbb.berlin/?lang=en) at @stabi_berlin@openbiblio.social published in Open Access

Guidelines for the Documentation of Ethical, Legal and Social Issues (ELSI) in Cultural Data

https://doi.org/10.5281/zenodo.16418345

Guidelines for the Publication of Cultural Data for AI Research

https://doi.org/10.5281/zenodo.15878097

Feedback to these publications is most welcome!

#bigdata #ML #culturalheritage #ELSI #digitalculturalheritage

@stabi_berlin@openbiblio.social The Bloomberg staff writers Parmy Olson and Carolyn Silverman published an article reviewing the financial tally of generative AI impacts and concluded that the data raise “an uncomfortable prospect: that this supposedly revolutionary technology might never deliver on its promise of broad economic transformation, but instead just concentrate more wealth at the top.“ http://bloomberg.com/opinion/articles/2024-11-29/chatgpt-turns-2-and-gives-8-trillion-birthday-gift-to-big-tech #feedingthecuckoo

A note on the cost-benefit ratio of #chatgpt - a user of one of our datasets (https://doi.org/10.5281/zenodo.7716097) calculated the cost of what the use of GPT-5 would have been if the 5 million pages provided by us would have been processed using #OpenAI 's service: $1.2 million (gasp!)

See the interesting and literally playful study by Tarek Saier here (in German only):

https://illdepence.github.io/slf-origins/

https://doi.org/10.5281/zenodo.17836059

@stabi_berlin@openbiblio.social

In the poster session at #CHR2025 starting at 5pm, our dear colleague Michał Bubula will present our short paper entitled "How Scalable is Quality Assessment of Text Recognition?"

https://anthology.ach.org/volumes/vol0003/how-scalable-is-quality-assessment-of-text-of

Go there and talk to him since we aim to provide your high-quality research data!

#OCR #researchdata #bigdata #GLAM

#FF2025 pickings:

@danielvanstrien@sigmoid.social has published his workshop slides on open source AI for #GLAM institutions

https://danielvanstrien.xyz/slides.html

I consider his readworthy contribution as the AI complement to my reflections on open data (and their shades) published here:

https://mmk.sbb.berlin/2024/06/21/openness-and-some-of-its-shades/?lang=en

#openAccess #opensource #fiftyshadesofgrey

(3/3) Nikhil Kandpal et al.: The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text, June 2025 https://doi.org/10.48550/arXiv.2506.05209 Stefan Baack et al.: Towards Best Practices for Open Datasets for LLM Training, Jan 2025 https://doi.org/10.48550/arXiv.2501.08365 Please extend this reading list! #AITrainingData #Commons #OpenAccess #PublicDomain @paulk@eupolicy.social @sclaeyssens@akademienl.social @sophiesposts@mastodon.nl @europeana@glammr.us @stabi_berlin@openbiblio.social

(2/3) Paul Keller & Europeana Foundation: Outline for a European Books Data Commons, Nov 2025 https://openfuture.eu/publication/outline-for-a-european-books-data-commons/ Lukas Gienapp et al.: The German Commons – 154 Billion Tokens of Openly Licensed Text for German Language Models, Oct 2025 https://doi.org/10.48550/arXiv.2510.13996 Pierre-Carl Langlais et al.: Common Corpus: The Largest Collection of Ethical Data for LLM Pre-Training, June 2025 https://doi.org/10.48550/arXiv.2506.01732

#FF2025 pickings:
This year has been extremely productive with regard to the AI & commons debate, as well as in view of the publication of open datasets in the public domain. My recommendations (1/3):

Paul Keller & Europeana Foundation: Publishing cultural heritage data in the age of AI, Dec 2025
https://openfuture.eu/publication/impulse-paper-publishing-cultural-heritage-data-in-the-age-of-ai/

Thomas Padilla et al: Public Interest Corpus Principles and Goals, Dec 2025
https://www.authorsalliance.org/2025/12/03/releasing-the-public-interest-corpus-principles-and-goals/