Big Data Problems - Crash Course Statistics

Adriene Hill discusses the potential downsides of big data, focusing on issues like algorithmic bias and privacy concerns. She uses examples such as the husky vs. wolf algorithm and the COMPAS risk assessment tool to illustrate how bias can be introduced. The video also covers privacy laws like GDPR and COPPA, and the challenges of maintaining data privacy in the age of big data. The importance of algorithmic transparency and the responsibility of companies to protect data are emphasized, concluding with a call for caution in the use of big data.

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