Decoding how machines only learning white faces can lead to bad outcomes for other races with Avery Smith part 1

On this episode of AI: Decodes the System, Avery Smith, creator of Melalogic--a Habit-Tracker for Skin Care--and AI decode how when his wife was diagnosed and passed from skin cancer, Avery sought ways to use his software engineering skills to improve the health outcomes of people similar to the family that he lost. In part one, they talk about how Avery is currently building Melalogic, a Habit-Tracker for Skin Care. It enables Black People to be their healthcare advocate through nuanced education, behavior modification, and clinical support on caring for their skin in a more personalized and engaging way.

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

• Shirley Cards
• More on Shirley Cards
• Melalogic

Social Media

Avery Smith: Website, Instagram, and News
AI: Decodes the System: Website, Instagram, Twitter, Facebook, and TikTok

Find us on Clubhouse at @AiDecodes.

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