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| environmental_machine_learning [2017-07-23 06:18] – theunkarelse | environmental_machine_learning [2017-09-07 16:36] – theunkarelse | ||
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| === potential starting questions: === | === potential starting questions: === | ||
| - | * if/how the concept of the ' | + | * if/how the concept of the ' |
| - | * how do animals, plants or machines learn through experience and exposure? | + | * how do animals, plants or machines learn through experience and exposure? |
| - | * (how) could an AI become environmentally literate? | + | * (how) could an AI become environmentally literate? |
| - | * could such a ' | + | * what does a ' |
| - | * could machine learning expand environmental literacy in technology/ | + | * how do strategies of environmental observation compare/ |
| - | * how do strategies of environmental observation compare/ | + | * thalience: how much of the human is present in the ' |
| - | * thalience: how much of us humans | + | * who is the observer in these experiments? what kind of power-relations come out? (+symbiogenesis) |
| + | === blurb: === | ||
| + | Complex machines have been part of our environment for many centuries. Pioneers like al Jazari already made programmable automata around 1200AD. Machines came to dominate the land, sea and air dramatically since the Industrial Revolution. Until very recently the ability to relate to the environment was limited to plants and animals, but now machines are starting to blur those lines. What does it mean if machines join animals and plants there on more equal levels of awareness? Environmental Machine Learning is a program of fieldwork sessions with experiments as vehicles for materialising questions. | ||
| + | |||
| + | === context: === | ||
| + | All mayor tech companies have made AI their top priority in a race to file patent applications. These are not just reaching into the depths of human society, but permeate into the remotest mangroves, deserts or reefs. Some first experiments with machine learning have been undertaken by ecologists. EML aims for a fundamental exploration of environmental literacy and how this could be made accessible to / obtained by an AI. | ||
| === methods: === | === methods: === | ||
| * fieldwork: exploration through interactions between man-machine-environment in-situ | * fieldwork: exploration through interactions between man-machine-environment in-situ | ||
| - | * prototyping | + | * prototyping: like in Boskoi & Machine Wilderness with experiments as vehicles for materializing questions |
| * critical reflection | * critical reflection | ||
| - | * multimodal and transdisciplinary approach: could the project also give room to explore observation strategies from various domains of human inquiry and probe them in-situ? | + | * multimodal and transdisciplinary approach: could the project also give room to explore observation strategies from various domains of human inquiry and probe them in-situ? |
| + | |||
| + | === program: (under construction)=== | ||
| + | * **dec 2017 / nov 2018** > EML Meetup series at MidWest Experimental Station Amsterdam > //theme: Synthetic Environmental Literacy// | ||
| + | * **may 2018** > fieldwork session Finland > //theme: Rules of Engagement: Machine and Animal interactions// | ||
| + | * **sep 2018** > fieldwork session Terschelling > //theme: Random Forests: Environmental observation and perception into algorithm// > 10 ppl / 2 or 3 days | ||
| + | * **nov 2018** > critical reflection / writing, web or print > // | ||
| + | * exhibition (Artis Zoo?) | ||
| + | * //Plain Air Nouveau// EU program | ||
| === reading: === | === reading: === | ||
| Line 38: | Line 51: | ||
| * [[https:// | * [[https:// | ||
| * [[https:// | * [[https:// | ||
| + | * [[https:// | ||
| * [[https:// | * [[https:// | ||
| + | * [[https:// | ||
| === framing: === | === framing: === | ||
| Line 47: | Line 62: | ||
| === see also: === | === see also: === | ||
| - | * [[machine_learning]] | + | * [[machine learning]] |
| - | * [[machine_ecology]] | + | * [[machine ecology]] |
| + | * [[Robust Physical Perturbations]] | ||
| * http:// | * http:// | ||
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