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environmental_machine_learning [2017-07-24 12:17] – theunkarelse | environmental_machine_learning [2017-08-14 12:03] – 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? (+ cognitive biases) | + | * how do animals, plants or machines learn through experience and exposure? (+cognitive biases) |
* (how) could an AI become environmentally literate? (+ implications) | * (how) could an AI become environmentally literate? (+ implications) | ||
* what does a ' | * what does a ' | ||
- | * 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 the human is present in the ' | ||
- | * who is the observer in these experiments? | + | * who is the observer in these experiments? |
+ | |||
+ | === 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. Some first experiments with machine learning have been undertaken by ecologists, but there AI is mainly seen as a way to address heterogeneity issues in data ranging from genetic data, to climate models, or species abundance. EML aims for a more 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: |
* 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: === | + | === program: |
- | * fieldwork session Kilpisjarvi Biological Research | + | * EML Meetup series at MidWest Experimental |
- | * fieldwork session | + | * fieldwork session |
- | * critical reflection / writing, web or print? | + | * fieldwork session |
+ | * critical reflection / writing, web or print: // | ||
* exhibition (Artis Zoo?) | * exhibition (Artis Zoo?) | ||
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=== see also: === | === see also: === | ||
- | * [[machine_learning]] | + | * [[machine learning]] |
- | * [[machine_ecology]] | + | * [[machine ecology]] |
+ | * [[Robust Physical Perturbations]] | ||
* http:// | * http:// |