Ep 15: (Part 2 of Ep 12) Decoding how machines only learning white faces can lead to bad outcomes for other races with Avery Smith

AI Decodes the System

English - March 04, 2021 09:00 - 19 minutes - 13.3 MB - ★★★★★ - 24 ratings
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Previous Episode: Decoding how 50% of Americans say they are Independent but have to choose between two political parties with John Opdycke

Next Episode: Decoding a world where machines are learning you and why you need to learn the machines with Shane Austrie

On this episode of AI: Decodes the System, Avery Smith, creator of Melalogic--a Habit-Tracker for Skin Care--and AI decode how in order to erase racial disparities, there has to be a direct focus on understanding the needs of Black people. Not just people of color, but Black people. In part two, they talk about how Avery is building a dataset focused on Black skin in order to improve disparities in dermatology and specifically skin cancer diagnosis. Avery talks about how industries don't focus on Black people due to the population size and how that can no longer continue. Listen to part one here.

Avery envisions that Melalogic will use machine learning and image recognition to help trained doctors more accurately and efficiently pre-diagnose skin conditions in Black People at their earliest stages, leading to lower mortality rates.

More about Avery
Avery Smith started coding in 1999 as a hobby to promote his graphic design. Years later, he has two degrees and extensive software development experience through his work with the rescue team for President Obama's Healthcare.gov website and with the U.S. Small Business Administration, TravelChannel.com, and the Library of Congress. He co-authored a research paper with a leading dermatologist entitled, "Machine Learning and Health Care Disparities in Dermatology," published by the American Medical Association. Follow Avery at the links below.

Resources Avery mentioned on the podcast

Melalogic

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