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LAION

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LAION
Company typeNon-profit
IndustryArtificial intelligence
Founder
  • Christoph Schuhmann
  • Jenia Jitsev
  • Richard Vencu
  • Robert Kaczmarczyk
  • Theo Coombes
  • Mehdi Cherti
  • Aarush Katta
  • Jan Ebert
Websitelaion.ai Edit this on Wikidata

LAION (acronym for Large-scale Artificial Intelligence Open Network) is a German non-profit which makes open-sourced artificial intelligence models and datasets.[1] It is best known for releasing a number of large datasets of images and captions scraped from the web which have been used to train a number of high-profile text-to-image models, including Stable Diffusion and Imagen.[2][3]

In February 2023, LAION was named in the Getty Images lawsuit against Stable Diffusion as a non-party.[4] In April 2023, LAION was directly sued by a German photographer who wanted to have his images removed from the training set.[5] In September 2024, the Regional Court of Hamburg dismissed the lawsuit, in what was described as a "landmark ruling on TDM [Text and data mining] exceptions for AI training data" in Germany and the EU more generally.[6]

On April 15, 2023, LAION and contributors publicly released an open source AI assistant chatbot called OpenAssistant.

Image datasets

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LAION has publicly released a number of large datasets of image-caption pairs which have been widely used by AI researchers. The data is derived from the Common Crawl, a dataset of scraped web pages. The developers searched the crawled html for <img> tags and treated their alt attributes as captions. They used CLIP to identify and discard images whose content did not appear to match their captions.[7] LAION does not host the content of scraped images themselves; rather, the dataset contains URLs pointing to images, which researchers must download themselves.[8]

The first such dataset, LAION-400M, was released in August 2021 and consisted of 400 million image-caption pairs. The pairs were extracted from a random subset of webpages scraped by Common Crawl between 2014 and 2021.[9] It was an attempt to recreate the process used by OpenAI to collect the 400 million image-caption pairs they used to train the CLIP model - the company had chosen to open-source the model's code and weights, but not its training dataset.[7] Imagen, a text-to-image model announced by Google Brain in 2022, was trained on LAION-400M in combination with private internal datasets.[10]

A successor of more than 5 billion pairs, LAION-5B, was released in March 2022.[11] As of its release, it was the largest freely available dataset of image-caption pairs in existence.[7] Its creation was funded by Doodlebot, Hugging Face and Stability AI, the AI company behind the funding of the Stable Diffusion text-to-image model, which was trained on it.[12]

Criticism

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Several studies show that the images in LAION-5B contain problematic images and text pairs of rape, pornography, malign stereotypes, racist and ethnic slurs, and other extremely problematic content.[13][14]

An investigation by Bayerischer Rundfunk showed that LAION's datasets, hosted on Hugging Face, contain large amounts of private and sensitive data harvested from public websites.[15]

In December 2023, the Stanford Internet Observatory released a report on LAION-5B that found 3,226 suspected instances of links to child sexual abuse material with 1,008 of these being externally validated. In response, LAION temporarily removed LAION-5B and LAION-400M citing its "zero tolerance policy for illegal content" and "an abundance of caution".[16] In August 2024, LAION released a cleaned dataset called Re-LAION-5B.[17]

OpenAssistant

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OpenAssistant
Developer(s)LAION and contributors
Initial release15 April 2023; 20 months ago (2023-04-15)
Type
LicenseApache License 2.0
Websiteopen-assistant.io

OpenAssistant is an artificial intelligence (AI) open source chat-based assistant that understands tasks, can interact with third-party systems and retrieve information dynamically to do so. The project is developed by a group of volunteers in collaboration with LAION. One of the goals for development includes free access to large language models that can be run locally on consumer hardware.[18][19] The project is backed by a worldwide crowdsourcing effort involving over 13,500 volunteers who have created 600k human-generated data points.[19][20]

See also

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References

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  1. ^ "About". LAION.ai. Retrieved 26 September 2022.
  2. ^ Edwards, Benj (15 September 2022). "Have AI image generators assimilated your art? New tool lets you check". Ars Technica.
  3. ^ Newman, Marissa; Cantrill, Aggi (24 April 2023). "The Future of AI Relies on a High School Teacher's Free Database". Bloomberg News. Retrieved 24 April 2023.
  4. ^ "Getty Images (US), Inc. v. Stability AI, Inc., 1:23-cv-00135". CourtListener. Retrieved 2023-02-08.
  5. ^ "A Photographer Tried to Get His Photos Removed from an AI Dataset. He Got an Invoice Instead". Vice. 28 April 2023. Retrieved 2023-05-04.
  6. ^ Goldstein, Paul; Stuetzle, Christiane; Bischoff, Susan (2024-11-13). "Kneschke vs. LAION - Landmark Ruling on TDM exceptions for AI training data – Part 1". Kluwer Copyright Blog. Retrieved 2024-11-25.
  7. ^ a b c Alford, Anthony (17 May 2022). "LAION Releases Five Billion Image-Text Pair Dataset LAION-5B". InfoQ.
  8. ^ Edwards, Benj (21 September 2022). "Artist finds private medical record photos in popular AI training data set". Ars Technica.
  9. ^ Schuhmann, Christoph (8 August 2021). "LAION-400-Million Open Dataset". LAION blog. Retrieved 26 September 2022.
  10. ^ Saharia, Chitwan; Chan, William; Saxena, Saurabh; Li, Lala; Whang, Jay; Denton, Emily; Kamyar Seyed Ghasemipour, Seyed; Karagol Ayan, Burcu; Sara Mahdavi, S.; Gontijo Lopes, Rapha; Salimans, Tim; Ho, Jonathan; J Fleet, David; Norouzi, Mohammad (23 May 2022). "Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding". arXiv:2205.11487 [cs.CV].
  11. ^ Beaumont, Romain (3 March 2022). "LAION-5B: A New Era of Open Large-Scale Multi-Modal Datasets". LAION blog.
  12. ^ Wiggers, Kyle (12 August 2022). "This startup is setting a DALL-E 2-like AI free, consequences be damned". TechCrunch.
  13. ^ Birhane, Abeba; Prabhu, Vinay Uday; Kahembwe, Emmanuel (2021). "Multimodal datasets: misogyny, pornography, and malignant stereotypes". arXiv:2110.01963. {{cite journal}}: Cite journal requires |journal= (help)
  14. ^ Birhane, Abeba; Prabhu, Vinay; Han, Sang; Boddeti, Vishnu Naresh; Luccioni, Alexandra Sasha (2023-11-06), Into the LAIONs Den: Investigating Hate in Multimodal Datasets, arXiv:2311.03449
  15. ^ Brunner, Katharina; Harlan, Elisa (2023-06-07). "We Are All Raw Material for AI". Bayerischer Rundfunk.
  16. ^ Cole, Samantha (20 December 2023). "Largest Dataset Powering AI Images Removed After Discovery of Child Sexual Abuse Material". 404 Media. Retrieved 22 December 2023.
  17. ^ Belanger, Ashley (2024-08-30). "Nonprofit scrubs illegal content from controversial AI training dataset". Ars Technica. Retrieved 2024-08-31.
  18. ^ Open-Assistant, LAION AI, 2023-03-09, retrieved 2023-03-09
  19. ^ a b Köpf, Andreas; Kilcher, Yannic; von Rütte, Dimitri; Anagnostidis, Sotiris; Tam, Zhi-Rui; Stevens, Keith; Barhoum, Abdullah; Duc, Nguyen Minh; Stanley, Oliver; Nagyfi, Richárd; ES, Shahul; Suri, Sameer; Glushkov, David; Dantuluri, Arnav; Maguire, Andrew (2023-04-14). "OpenAssistant Conversations -- Democratizing Large Language Model Alignment". arXiv:2304.07327 [cs.CL].
  20. ^ "Open Assistant: Explore the Possibilities of Open and Collaborative Chatbot Development". KDnuggets. Retrieved 2023-05-05.
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