Data Scientists to Develop Their Own Version of the ‘Hippocratic Oath’

Originally posted on www.bloomberg.com. 

Two themes appeared during almost every session during the 2017 Data for Good Exchange (D4GX), held at the Bloomberg headquarters on Sunday, September 24. One was the need to generate trust between data scientists and the people whose data they hold. Another was the need to address the bias that often appears in data and algorithms.

“When data scientists are entrusted with the most private and valuable data out there, the data science community must work to deserve the trust of those whose data we are holding,” says Gideon Mann, Bloomberg’s head of data science.

A new initiative from Bloomberg, BrightHive, and Data for Democracy aims to help address these issues, as well as other ethical dilemmas related to working with data. Called the “Community Principles on Ethical Data Sharing” (or CPEDS), the project is designed to provide a set of guidelines relating to data sharing and collaboration among data scientists.

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