Professional Ethics in contemporary Data Science practice

Executive Summary This paper will discuss accountability, ethics and professionalism in data science (DS) practice, considering the demands and challenges practitioners face. Dramatic increases in the volume of data captured from people and things, and the ability to process it places Data Scientists in high demand. Business executives hold high hopes for the new and […]

Anthropomorphising the algorithm

Leading on from my last blog post conclusion that holding algorithms accountable is a bit of a daft idea, I want to thank Richard Nota for this wonderful comment on The Conversation article posted by Andrew Waites in our slack channel Richard Nota The ethics is about the people that oversee the design and programming […]

About algorithms being black boxes

For 36111 Philosophies of Data Science Practices’ first assignment, I am exploring the emerging practice of holding algorithms accountable. Often, people refer to algorithms as black boxes. There are three different definitions of a black box, according to merriam webster: Definition of black box 1 :a usually complicated electronic device whose internal mechanism is usually […]

Data Science Ethics: my initial thoughts

I had two main thoughts about this: self regulation by the data science profession, and data literacy. The promise of big data and artificial intelligence is at an all time high, but by no means at its peak. The availability of data to mine is growing exponentially. And yet the data science community is still relatively […]