Machine learning is the next technological revolution. Every aspect of our modern lives is already touched by it in some way, and there's no sign of it slowing down. So why is it that only a small minority of developers have any training in ethics or to recognize AI bias?
Creators of AI technologies are learning the hard way that these technologies can amplify the racial and gender prejudices in society. As machine learning makes more and more decisions about our lives, it's critical for everyone to be aware of these limitations and to work actively to challenge them. Jessica will be discussing where these biases come from, what we're doing to combat them, and how we can do better in the future.
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Nextiva
Jessica Ellis is a Python developer and is actively involved in AI initiatives at Nextiva. She went to school for computational biology at NAU, and even published a few papers in human genomics. Since then, Jessica has delved into web development, but her fascination with computing lots of big numbers has never left. Her dream is to fit the entire world into a statistical machine. Maybe call i…
Jessica Ellis is a Python developer and is actively involved in AI initiatives at Nextiva. She went to school for computational biology at NAU, and even published a few papers in human genomics. Since then, Jessica has delved into web development, but her fascination with computing lots of big numbers has never left. Her dream is to fit the entire world into a statistical machine. Maybe call it “Multivac” or something. In her free time, Jessica volunteers with mutual aid and harm-reduction organizations, plays (too much) tabletop roleplaying, and has recently started stinking up the house with fermented beans. She lives happily with her spouse and looks forward to when she can retire with them out in the woods.
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