Picked up O’Neil’s book earlier this year, and it was brilliant. You should too. It was a quick read, but after reading you will be searching for hours (or like me, months — possibly, years?) on the potentials of big data, AI and their impacts on ethics.
Anyway, a 4-step approach for those in data science: Data integrity check, audit the definition of success, rethink accuracy & consider long-term effects of algorithms.
And for the non-data scientists:
This is not a math test. This is a political fight. We need to demand accountability for our algorithmic overlords.
Related: the need for data ethnographer as the most crucial design job of the future.