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Wish there would be a Google lens kind of tool that could search for similar images from only trustworthy sources, like archives.

You would feed an AI image and it would show you how something similar looks in reality.

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How do we avoid all the fauxpen source tools (and obviously also explicitly proprietary tools) and stick to using only real open source AI in our work?

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Notebook showing use of OpenAI and Qdrant APIs

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Notebook showing use of OpenAI and Qdrant APIs

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https://tinyurl.com/ai-sauna-apis-notebook

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Discussions have drawn attention to the huge amount of work involved in diversifying learning data. This is in contrast to popular discourse about how much labour LLMs can 'save'.

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We talk about "future" audiences, but it would be better to talk about "other" audiences. How can we use AI to present the information in new ways?

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We talk about "future" audiences, but it would be better to talk about "other" audiences. How can we use AI to present the information in new ways?

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When AI would get AGI and destroy all human culture?

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When AI would get AGI and destroy all human culture?

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How do you see an emerging balance between eg  opting sensitive cultural data out of training and underrepresentation of marginalised cultures in large datasets?

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How good/bad they are objectively?

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AI generated suggestions to improve Wikidata items

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AI generated suggestions to improve Wikidata items

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From wikipedia articles, using NER techniques, extracting external references, etc.

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(how) would this be able to develop into a tool that can be used by the general Wikipedia editor?

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How this could be done?

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Identifying point of view/ propaganda on Wikipedia

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Identifying point of view/ propaganda on Wikipedia

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I'm curious to know more about how you'll be applying this work in the context of the EU Elections 2024.

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Is there some kind of meta site/list of all the AI projects, initiatives and experiments going on in the Glam sector now? What would be the go-to place to find out what is happening in the field?

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This is coming up a lot. What skills are most important for humans intervening in AI processes.

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Chat-based discovery services for cultural heritage

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Chat-based discovery services for cultural heritage

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Current user interfaces in services like Europeana are quite clumsy and not very "intelligent". Could we build chat-based interfaces, that would help us to explore our heritage in new and innovative ways?

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How this experiments relates with the Future Audiences exploration?

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What European co-operations can be created to improve representation of indigenous people and poorly represented countries, ethnic groups etc? How do we actively prevent a white washed web?

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Uploading AI-generated images to Wikimedia Commons is possible and the AI tool used can be indicated. Should the prompt used to generate the image be stored as well?

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What things we can we solve with traditional NLP techniques people are now doing with LLM.

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How do you work together with the very heterogeneous community of volunteers in deciding how and where Wikimedia Foundation's strategy on the use of AI is put in practice in Wikimedia projects?

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© traceability in Commons for IA generated artifacts

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© traceability in Commons for IA generated artifacts

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How we can admit in Commons digital artifacts generated with LLM when there is not a copyright traceability of the training knowledge base?

The same for other projects, using LLM's.

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What their relations and plans with Europeana and DARIAH.

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How this datamodel is? What is its relation with Europana and the EDM datamodel? Or with CIDOC-CROM / RiC-CM.

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What would you like us to work on during the event

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What would you like us to work on during the event