Vipin Ajayakumar

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A blind belief in the supremacy of data for making decisions is not only delusional, it is positively dangerous. As data-driven decision making becomes more widespread, we will need to figure out how to make algorithms accountable and transparent, how to avoid reinforcing existing biases, and how to fix them when they inevitably make mistakes.
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
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