How do you consider/account for the ethical implications of the predictive analytics that we are running? I sometimes worry that we are so pressed to move forward with gaining scientific insight that we don’t consider the potential negative ramifications of our analyses (e.g., machine learning won’t negate racial biases that exist in our orgs already).
Hi, Sahra. Thanks for your question. As a long-time promoter of #PeopleDataforGood this is a question that’s near and dear to me, and one that’ll require continuous attention over time. In short, here’s a reply I shared with another questioner. Before pressing paste, though, I will say this: We have to have gates, wickets, whatever you want to call it, that determine go-no go decisions throughout the Data-to-Change Process. This includes when we’re collecting data, analyzing data, packaging insights, distributing insights, etc. This takes discipline and forethought and, unfortunately, too few have allocated the time and energy to understand how best to deal with current data, analysis, and insights, as well as future data, analysis, and insights. This is unfortunate and risky as the world is only moving faster. Again, thanks for your question, Sahra! Hope this helps in some way.
Thanks, @Al_Adamsen! Super helpful and insightful.
My pleasure @Sahra_Kaboli-Nejad. Super appreciate the kind words!
We actually just had a very similar conversation on this in our team offsite today. We still need to build some formality around ethics and governance as a team but one piece that I think one piece that will be abundantly clear is to undertake the analysis with the ends in mind. One example of this is looking at integrating new employees into the organization. Does it really matter how likely it is that a particular person is going to leave or is the more valuable/actionable insight actually how we can improve the onboarding process holistically (thinking early/preventative identification of something like a peripheral node). Ultimately it’s the factors that can influence the process and that can be arrived at in an anon fashion. This type of approach builds trust vs demonstrating a big brother type approach.