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The Underwhelming Benefits of Big Data

In his Response to Professor Schwartz, Professor Ohm contends that Big Data’s touted benefits are often less significant than claimed and less necessary than assumed. Additionally, Ohm highlights the bad outcomes arising from some Big Data projects, like invasions of privacy and hard‐to‐detect invidious discrimination. Ohm argues for a more nuanced approach to analyzing the benefits of Big Data, urging readers to focus on true benefits rather than minimally interesting results. To help shift attention to Big Data’s true benefits, Ohm proposes three rules of engagement, which distinguish between different classes of Big Data’s benefits.