Big data is not always trustworthy from "summary" of Weapons of Math Destruction by Cathy O'Neil
In the age of big data, we are often led to believe that more data means better outcomes. We trust that the algorithms and models built on massive amounts of information will lead us to objective and accurate results. However, this blind faith in big data can be misleading. Just because something is based on a large amount of data does not automatically make it reliable or trustworthy. One of the main reasons why big data is not always trustworthy is the potential for bias. The data collected and used in algorithms are often influenced by human decisions and prejudices. If the data itself is biased, then the outcomes produced by the algorithms will also be biased. This perpetuates and even exacerbates existing inequalities and...
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