Not AI, but Abstract Statistic Systems

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Recently, I held a keynote on The Al Conundrum in Photographic Art-seminar, focusing on the general understanding and discussion around generative AI. The seminar explored the reasons and ways that artificial intelligence is being used by artists today and included interesting artist talks from Hilde Honerud, Tuomo Rainio, Mikaela Steby Stenfalk, Ida Kvetny and Diana Velasco.

Moreover, the Director of the Finnish Museum of Photography, Anna-Kaisa Rastenberger, gave a wonderful commentary on my keynote, and after the talks, there was a lively discussion from the panel consisting of Anna-Kaisa Rastenberger, artists and Donald Weber, Associate Professor at Aalto University. The seminar was organised by the Association of Photographic Artists (FI) in collaboration with three Nordic photography institutions, Centrum för fotografi (SE), Fotografisk center (DK), Preus Museum (NO), and Aalto University.

Below is a transcript of that talk.

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AI, Cows and earthworms, with holiday book recommendations!

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In a recent episode of Finnish podcast Herrasmieshakkerit (Gentleman hackers) , there was an interview with Arttu Lehmuskallio, the head of Finnish National Cyber Security Centre, who briefly discussed how cows have about five computers each. As I am sitting and writing this with my laptop and only have two other computing devices with me (my clock and my phone), I am feeling a bit jealous. Whether the cows surf the Intermoo or watch the Cowflix or not, this bit of information goes to show how digital processes envelop even the picturesque image of a pure countryside and the milking of the cow early in the morning; it is done by computers.

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The Death of AI art

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The recent trend with technology seems to be betting heavily on Artificial Intelligence. From automating tiresome factory jobs, AI is moving into more cognition demanding jobs. Not only truck- or -taxi drives are threatened, but doctors, nurses, and many others as well. Similarly, art and design worlds are preparing for the new intelligent era.

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Contempora intearther -machine interprets my dissertation and end of the year musings about AI

One of the big things in digital technology this year has been the advancements in AI and in particular in machine learning (ML). A lot of great and exciting things has been written about them this year. From the almost incredible mind-reading AI to dystopian visions and further. Despite, AI and ML are producing novel ideas and applications, in some way the current hype of AI and ML reminds me of the hype of big data, or digitalisation, just a while back. The idea remains the same, but the buzzword has just changed.

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