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| environmental_machine_learning [2017-09-23 09:12] – theunkarelse | environmental_machine_learning [2018-01-23 13:24] – sjef |
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| === research thread: === | === research thread: === |
| [[groworld_hpi]] > [[http://boskoi.org|Boskoi]] 2010 > [[http://augmentedecology.com|Augmented Ecology]] 2014 > [[http://machinewilderness.net/|Machine Wilderness]] 2015 > Environmental Machine Learning (2018?) | [[groworld_hpi]] > [[http://boskoi.org|Boskoi]] 2010 > [[http://augmentedecology.com|Augmented Ecology]] 2014 > [[http://machinewilderness.net/|Machine Wilderness]] 2015 > Environmental Machine Learning (2018) |
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| === potential starting questions: === | === potential starting questions: === |
| * how do strategies of environmental observation compare/relate (in AI, choreography, ecology, art, landscaping, traditional cultures,..) | * how do strategies of environmental observation compare/relate (in AI, choreography, ecology, art, landscaping, traditional cultures,..) |
| * who is the observer in these experiments? what kind of power-relations come out? (+symbiogenesis) | * who is the observer in these experiments? what kind of power-relations come out? (+symbiogenesis) |
| * thalience: can environments be given their own voice? | * thalience: can environments be given their own voice? (or one that can reach modern humans on more level playing-ground) |
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| === blurb: === | === blurb: === |
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| === context: === | === 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. | All mayor tech companies have made AI their top priority, some say in a race to file patent applications. In any case these systems are not just reaching into the depths of human society and media, but also root deeply 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. |
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| * [[https://www.nrc.nl/nieuws/2017/06/27/niet-waar-de-robots-bij-zijn-11294270-a1564606|Not In Front Of The Bots (dutch)]] | * [[https://www.nrc.nl/nieuws/2017/06/27/niet-waar-de-robots-bij-zijn-11294270-a1564606|Not In Front Of The Bots (dutch)]] |
| * [[https://blogs.microsoft.com/on-the-issues/2017/07/12/announcing-ai-earth-microsofts-new-program-put-ai-work-future-planet/|Microsoft: AI for Earth]] | * [[https://blogs.microsoft.com/on-the-issues/2017/07/12/announcing-ai-earth-microsofts-new-program-put-ai-work-future-planet/|Microsoft: AI for Earth]] |
| * [[https://thenextweb.com/tq/2017/09/20/we-desperately-need-ethical-algorithms-heres-why/#.tnw_HMT7SwPK|We Desperately Need Ethical Algorithms, Here's Why]] (not that insightful, I just list it to document a quote) | * [[https://thenextweb.com/tq/2017/09/20/we-desperately-need-ethical-algorithms-heres-why/#.tnw_HMT7SwPK|We Desperately Need Ethical Algorithms, Here's Why]] (not that insightful, just listed here to document a quote) |
| * [[https://www.propublica.org/series/machine-bias|Machine Bias]] | * [[https://www.propublica.org/series/machine-bias|Machine Bias]] |
| | * [[https://medium.com/@memoakten/retune-2016-part-2-algorithmic-decision-making-machine-bias-creativity-and-diversity-3c7cca21ba37|Memo Akten's Medium pages]] |
| | * [[https://www.quantamagazine.org/new-theory-cracks-open-the-black-box-of-deep-learning-20170921| Crack open the black box of deep learning]] |
| | * [[http://nautil.us/issue/52/the-hive/the-perils-of-letting-machines-into-the-hive-mind|The Perils of Letting Machines Into the Hive Mind]] |
| | * [[http://www.karineskoog.com/thehunter-call-of-the-wild-designing-believable-simulated-animal-ai/|AI & Designing Believable Simulated Animals]] |
| | * [[https://placesjournal.org/article/mappings-intelligent-agents/|Mapping Intelligent Agents]] |
| | * [[https://scout.ai/story/the-next-software-revolution-will-rewrite-life-as-we-know-it/|The Next Software Revolution Will Rewrite Life As We Know It]] |
| | * [[https://futurism.com/the-key-to-understanding-ai-may-be-buried-in-the-laws-of-physics/|Key to AI may be in physics]] |
| | * [[https://www.theguardian.com/technology/2017/oct/04/google-deepmind-ai-artificial-intelligence-ethics-group-problems| DeepMind announces ethics group]] |
| | * [[https://medium.com/@daviddao/predictive-smart-contracts-dc15b9986d8c|David Dao (of Gainforest) on Medium]] |
| | * [[https://www.forbes.com/sites/forbestechcouncil/2017/11/16/why-decentralized-artificial-intelligence-will-reinvent-the-industry-as-we-know-it/#78178535511a| On decentralized AI and Federated Learning ]] |
| | * [[https://www.nature.com/articles/d41586-017-08675-7|Lucas Joppa in Microsofts AI for Earth programme]] |
| | * [[https://www.ercim.eu/publication/Ercim_News/enw61/paysley.html|Modelling Ecological Health using AI Techniques]] |
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| === Youtube Lectures: === | === Youtube Lectures: === |
| * [[https://norbertbiedrzycki.pl/en/artificial-brains-save-the-earth/|Artificial Brains Save The Earth]] | * [[https://norbertbiedrzycki.pl/en/artificial-brains-save-the-earth/|Artificial Brains Save The Earth]] |
| * [[https://www.youtube.com/watch?v=i_uL_nCv2g4|Machine Learning in Ecological Science and Environmental Management, Thomas Dietterich]] | * [[https://www.youtube.com/watch?v=i_uL_nCv2g4|Machine Learning in Ecological Science and Environmental Management, Thomas Dietterich]] |
| | * [[https://www.theguardian.com/commentisfree/video/2016/mar/16/artificial-intelligence-we-should-be-more-afraid-of-computers-than-we-are-video|AI: we should be more afraid of computers than we are]] Guardian video (also [[https://www.theguardian.com/culture/2017/feb/21/what-our-original-drama-the-intelligence-explosion-tells-us-about-ai| Gunter the Robot]]) |
| | * [[https://www.ted.com/talks/stuart_russell_how_ai_might_make_us_better_people#t-589195|TED: Stuart Russell rules for making AI more human compatible]] |
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| === framing: === | === framing: === |
| * [[thalience]] | * [[thalience]] |
| * Panpsychism | * Panpsychism |
| | * Sasi / Rahui / Mo |
| | * An institutional analysis of SasiLaut in Maluku, Indonesia [[https://www.researchgate.net/publication/23550908_An_institutional_analysis_of_SasiLaut_in_Maluku_Indonesia]] |
| | * Through a Green Lens: The Construction of Customary Environmental Law and Community in Indonesia's Maluku Islands [[https://institutionalorganizationalecologies.files.wordpress.com/2011/01/zerner-sasi.pdf]] |
| | * The Meaning of Mo: Place, Power and Taboo in the Marshall Islands[[https://openresearch-repository.anu.edu.au/bitstream/1885/116113/4/Ahlgren%20Thesis%20final%202017.pdf]] Sections on Cultural Ecology, Ecological Knowledge, Scared ecologies. Broad, detailed discussion of use or traditions of taboo in context of modern conservation & resource management. |
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| | === initiatives: === |
| | * [[http://www.handsfreehectare.com/]] |
| | * [[https://www.microsoft.com/en-us/aiforearth|Microsoft AI for Earth]] |
| | * [[https://www.zsl.org/conservation/conservation-initiatives/conservation-technology/machine-learning|Zoological Society London]] |
| | * [[http://www.terra0.org/|Terra0]] |
| | * [[http://gainforest.org/|Gainforest]] |
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| === see also: === | === see also: === |
| * [[machine ecology]] | * [[machine ecology]] |
| * [[Robust Physical Perturbations]] | * [[Robust Physical Perturbations]] |
| * http://machinewilderness.net | \\ |
| | Project website: [[http://randomforests.nl/|randomforests.nl/]] |
theunkarelse