Ethics should be a first class design consideration of data science.
— Hilary Mason (@hmason) July 17, 2018
That means that considering the impact of what you build should be part of your build process.
I've co-authored a series with @dpatil and @mikeloukides where we consider this practice: Doing Good Data Science
The first essay in our series explores Doing Good Data Science: https://t.co/wfdKgUp90u
— Hilary Mason (@hmason) July 17, 2018
The second piece explores the place of oath and checklists as tools of good data science process: https://t.co/gPYael5lbA
— Hilary Mason (@hmason) July 17, 2018
The third piece in our data ethics series explores the five 'C's as a framework for considering the impact of your product: https://t.co/l97y2e337v
— Hilary Mason (@hmason) July 25, 2018
Consider the type of world that you want to live in, and design your work to create it. The fourth piece in our data ethics series considers our responsibility for the outcomes of our work: https://t.co/Vclr1vuX7Q
— Hilary Mason (@hmason) August 2, 2018
