The Biosphere Code @BiosphereCode
How algorithms are shaping our planet, and what we can do about it thebiospherecode.com Stockholm, Sweden Joined June 2015-
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I show up in a little documentary "Bias AI" talking about the problem of making unbiased AI. nkproductions.org/video/
"Apple made Siri deflect questions on feminism, leaked papers reveal" theguardian.com/technology/201…
Fascinating story!
Great piece on the need to learn more than how to code, and rather to know enough to ask questions about how the code affects work, life, and community. And, let’s not forget the planet! —> @BiosphereCode
Great piece on the need to learn more than how to code, and rather to know enough to ask questions about how the code affects work, life, and community. And, let’s not forget the planet! —> @BiosphereCode
Yikes! The Pentagon has a laser that can identify people from a distance—by their heartbeat | MIT Tech Review technologyreview.com/s/613891/the-p…
Fascinating examples of current topics. Below a photo showing facial recognition thwarting make-up. What happens when one arrives at an airport wearing this? Even if a playful statement? @rcalo talks about “tricking” AI & connections to cyber. #AspenCSF19 @IMbawue
The breadth of #AI is astounding. $52B invested since 2017 in disparate industries. @andy_fitze @SwissCognitive says applications range from #shipping #retail #transportation to #farming (w/#drones), #healthcare #mining.Almost every industry touched/will be soon. @ipsoft #DWS2019
Interesting read: "The age of the robot farmers" in the New Yorker about the connection btw immigration polices, jobs, agriculture and converging tech - artificial intelligence, robotics, big data, machine vision, and drones. newyorker.com/magazine/2019/…
"We need an algorithmic bill of rights before algorithms do us wrong". fastcompany.com/90317658/we-ne…
"Blockchain for Social Impact" by @DougGalen et al @Stanford gsb.stanford.edu/faculty-resear…
A new study warns that self-driving cars may be likelier to hit black people than white people. I wrote about it for @voxdotcom, with shoutouts to @jovialjoy and @katecrawford: vox.com/future-perfect…
We just made Google windfarms much more efficient!!! We used AI to boost the value of wind energy by 20% by accurately predicting power output 36 hours ahead of actual generation... great follow up to our data centre work... deepmind.com/blog/machine-l…
How Remote Sensing Data, AI and Blockchain is improving crop yield and boosting agronomics. Read how IBM Research’s big data platform called PAIRS – Geoscope is helping. bit.ly/2SWarJg #agriculture #IoT
Reading... ajph.aphapublications.org/doi/pdf/10.210…
Combining satellite data and machine learning to track individual fishing vessels on the high seas, and assess whether, where, and when high-seas fishing makes economic sense. advances.sciencemag.org/content/4/6/ea…
Thanks @olliewearn for mentioning our 2015 “Biosphere Code Manifesto” @BiosphereCode in this very interesting piece in ‘Nature Machine Learning’
Explore coral reefs and help train a machine learninig algorithm. Learn more online and in this month's issue of Eos. #AGU100 ow.ly/PzNg30nDo8L
humanity is doomed
@jared_adams613 Hi Jared, thanks. We agree that bad data (& bad models) are a major concern - hence our call for research on improved metrics. At the moment, it's easy to game precision/recall and get a fancy-looking model, which could be useless, or even detrimental, for front-line conservation

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