Working with data is not only about algorithms, feature selection, business domain and all of the other technical topics usually brought up in discussions about the field. The current availability of data and processing power enables us to invent new ways to approach problems in society. Now more than ever, we as tech workers need to think how to act ethically and not just by the law.
Fortunately in the past years we saw new initiatives like Fairness, Accountability, and Transparency in Machine Learning, books like Weapons of Math Destruction and courses like Data Science Ethics.
For more than two years now, in parallel to my daily data-related work, I’ve enrolled in several interesting courses. In this post I’d like to describe these as part of my learning path, even when some of them are no longer active you can still grab the resources.