#ff2024 — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #ff2024, aggregated by home.social.
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What a delight it was to present at the #ff2024 #ff24 Fantastic Futures #conference last week, held at the #NFSA, celebrating all things #AI and #ML in the #GLAM sector.
See what the #ANU School of #Cybernetics got up to at the conference:
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#FF2024 ended with a literal bang in the form of Triptych, EDM+AV Mechanical Synaesthesia, by Robin Fox. It was loud, intense, immersive, and what could only be described as an unforgettable "trip" 🔥🔥🤩💫💥. Nothing I've ever experienced before. A reimagining. In many ways, that was one of the main threads at #FF2024 - deliberate and cautious approach, ask questions, be more conscientious, do #SlowAI if possible. Certainly a reimagining of how AI projects have been done post-Kraken 🐙 👹🧌.
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Kirsten: On #SlowAI and "Just chill". Cultural understanding of time and space and slowing down. Fear of inertia.
Lauren: Yarning as methodology. "Isn't this just a focus group?" Yes, it does sound like it. But it's much much more. It encapsulates relationality btw research participant and researchers, conflict of interest. Recognising of prior relationship. Adds another layer or accountability. It needs to be Indigenous-led, can't just tack something on.
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#FF2024 Jon Dunn reminds us all that you can join informal working groups on speech-to-text and more at https://ai4lam.org - anyone is welcome to join the Slack, attend online calls with demos etc #AI4LAM #FF24
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James Smithies & Karaitiana Taiuru – Large Language Models and Transnational Research: Introducing the AI as Infrastructure (AIINFRA) Project.
Goal to have an evaluation framework for AI as a research tool. #SlowAI. Incorporate indigenous knowledge protocols. Sources: Hansard 1901 from UK, Aus and NZ.
Aotearoa - Data sovereignty principles created by elders and community, not by academics.
Abstract at https://sites.google.com/view/ai4lam/news/fantastic-futures-2024-papers#h.ytx09syhqiuq #AIINFRA #AI4LAM #FF2024
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##F24 @KathyReid - hearing a lot of conversations about the need for Australian GLAMs to adopt AI but fewer conversations about where that AI comes from - colonisation by Silicon Valley. Cultural institutions could help develop national capabilities in AI. She wants a Whisper that works for all Australian speakers #FF2024 #AI4LAM
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The next meeting of the Research Data Alliance's Collections As Data Interest Group will be held on 18 September, 3.00-4.00pm AEST. It'll include presentations from: Daniel Wilksch (Public Record Office Victoria) who’ll describe the process of developing PROV’s collection API; and @ingridbmason who’ll introduce #AI4LAM and preview the Fantastic Futures conference in October. More details, registration link, and agenda here: https://www.rd-alliance.org/groups/collections-as-data-ig/forum/topic/next-rda-collections-as-data-ig-meeting-18-september/ All welcome! #GLAM #openData #CollectionsAsData #ff2024
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long toot about unauthorised web scraping of works of art by ‘AI’ (🙄) / LLM crawlers & possible countermeasures. boosts appreciated! 🙏
(thanks to @KathyReid for some new (to me) hashtags to reach out on, doing a new toot rather than hijacking hers 😜)
so, atm I’m focused on possible countermeasures to #WebScraping & absorption of works of art & commentary around them into #img2img & #text2img #AI (🙄) / #LLM models - but it feels like the only viable long-term controls aren’t technical but rather regulatory & legislative, which tend to have long lead-times, limited consequences for violators (often small fines or a stern warning 🙄), & multi-jurisdiction issues & loopholes 😕
when it comes to technical controls… robots.txt is basically relying on the honour system (fails when crawlers have no honour), some interesting approaches with poisoning tools like glaze & nightshade (only useful before the scrapers hit, subject to counter-countermeasures, & potential legal issues for those obliged to care about such things)… 😢
some CDNs seem to do a decent job of #fingerprinting crawlers based on HTTP headers & subtleties in packets, etc., & dropping their traffic just for bandwidth concerns, but it feels like we’re in an arms race & have one arm tied behind our backs while our adversaries just yolo their way around such trivial concerns as copyright, licensing, artists’ moral rights, & seem to actually think that ‘but if we had to pay for the training content, our business model just wouldn’t work!’ (yeah? and?) is a thing that anyone should care about… 🤔
if anyone following these hashtags has advice about possible defences or anything else I haven’t seen yet, I’m all 👂👂👂👂👂