↪ Replying to @RealSaavedra
@RealSaavedra Here we go, one of many examples:
propublica.org/article/machin…
@AOC is 100% correct and there are many organizations across the world working on ways to mitigate bias in machine learning.
@RealSaavedra @AOC Algorithms are driven by computation, not by math.
joanna-bryson.blogspot.com/2017/07/three-…
@RealSaavedra @AOC A video based on @mathbabedotorg's talk may help out here: vimeo.com/thersa/thetrut…
She wrote a book aptly named Weapons of Math Destruction.
@RealSaavedra Hmmm, it seems even Amazon can't get it right... reuters.com/article/us-ama…
@RealSaavedra Here's one where Google apologized: theguardian.com/technology/201…
@RealSaavedra Google says: "Machine learning models are not inherently objective. Engineers train models by feeding them data sets of training examples, and human involvement in the provision and curation of this data can make a model's predictions susceptible to bias." developers.google.com/machine-learni…