Bias in Data Science
A significant influx of investment in AI and data science has led to both positive advancements and unanticipated negative consequences. Models created from static datasets can become biased over time if the evolving nature of data isn't monitored. The lack of thorough evidentiary support often leaves biases undetected, impacting people for years before they are discovered.In this clip
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What challenges arise in data sets as discussed in the episode 20VC: Founders Fund's Chief Scientist on Why AI Is Mostly A Scam, Why The Value of Large Datasets Is Mostly Overplayed & The Societal Effects of 4m Truck Drivers Being Unemployed with Aaron Vandevender and the clip Data Set Value?
What challenges arise in data sets as discussed in the episode 20VC: Founders Fund's Chief Scientist on Why AI Is Mostly A Scam, Why The Value of Large Datasets Is Mostly Overplayed & The Societal Effects of 4m Truck Drivers Being Unemployed with Aaron Vandevender and the clip Data Set Value?