4 Reasons Why Data Privacy Regulation is Good for Data Science
Instead of fearing data privacy legislation, data professionals should embrace regulation and all the opportunities that accompany it.
Data Privacy Regulation Was Inevitable
In 2018 I remember listening to a crackling A.M. radio broadcast that was airing Meta (then just Facebook) CEO’s Mark Zuckerburg’s testimony before Congress regarding the platform’s role in spreading misinformation related to the 2016 election.
While privacy advocates hoped Senate Committee members would grill Zuckerburg over his company’s role in data mining and the distribution of misinformation what they got instead were hard hitting questions about… how Facebook works.
Observing the disparity between elected officials’ naivety and their task of regulating big tech, in that moment, I came to a conclusion.
None of this (data mining, data collection, data vendors, machine learning, etc.) is getting regulated any time soon.
In a way I was right. While, in the years since Zuckerburg’s Congressional testimony piecemeal data privacy legislation has been introduced and, in some cases, passed, legislators are still not any closer to…
