Discussion questions for the article by Mike Loukides, Hilary Mason, and DJ Patil.
Our lives are bathed in data: from recommendations about whom to “follow” or “friend” to data-driven autonomous vehicles.
Many people make claims like “data are everywhere.” How much of this data do you as an end user have access too? To what extent to you have access to the data that you generate? What power dynamics are set up between data providers and collectors?
It has become very clear that the incentives of the organizations that build and own data products haven’t aligned with the good of the people using those products.
The proposed ethics checklist contains the following point:
Do we have a mechanism for redress if people are harmed by the results?
Should it be the responsibility of a data science team to create and control redress mechanisms?
The authors propose adapting the andon cord from automobile production for data product creation. How is production on an assembly line similar and different from production on a data science team?
By the time a policy has been formulated and approved, it almost always lags behind technology; but it’s impossible for policy makers to iterate quickly enough to catch up with the newest technology.
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