Datakind: doing good data science09 Nov 2014
Recently DataKind, an organization that I have been following for some time, held a session exploring the need for a ‘hippocratic oath [in] data science’.
As research using massive amounts of data becomes more and more popular, there develops a need for an ethical line. Similar to physician’s ‘do no harm’ mantra and the intimate access they have to a person’s experience with health, the data scientists access to large swaths of data from distributed sources has the potential for harm and exposure of personal information. To begin a discussion on defining this ethical line and come up with a ‘hippocratic oath for data science’ the people at DataKind held an evening forum. It has left me with many thoughts on this, especially as data science becomes pervasive in all aspects of our lives (including our health), and I felt compelled to share.
Some food for thought. Let me know what you think.