Either one or everyone: Two paths for accountability in data science 👨🏼‍⚖️

Professionals need to hold each other accountable. Especially data scientists. If there is nobody who can judge you work, what keeps you from cheating / slacking / lying? There are two paths you can take. A hard one and a scary one.

Either one or everyone: Two paths for accountability in data science 👨🏼‍⚖️
Photo by David Werbrouck / Unsplash

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Jamie Larson
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