Big Data’s dark side: Privacy . ESL activity: listening, taking notes, writing a summary
Transcript: Big data is not an unmitigated good. Like many things in society, in fact probably all things, it comes with risks as well and it comes with a dark side. And one dark side of course is privacy. That exists today, it’ll exist tomorrow, maybe it gets bigger with big data as well. But there is something else to play for, something else that’s a little more troubling still. And that is if you will, propensity. It is big data algorithms making a prediction of what you are likely to do before you’ve actually done it.
ESL activity. Listen to the video and take notes.
Writing. Write a summary of what you learnt in the video.
Now the criminal justice system has never really dealt with this sort of problem before. Typically you have to commit a crime before you are penalized for that crime. But what if it is simply a prediction that you have a likelihood of committing a crime? Would society be remiss not to intervene? If I could tell with a 98 percent statistical accuracy that you are likely to shoplift in the next 12 months, public safety requires that I interact. And maybe I don’t put you into jail, it’s not Minority Report it’s not pre-crime, I have a social worker knock on your door and say, “We’d like to help you. We’d like to get you an after school job if your teenager. We’d like to sort of support you.”
Well that sounds like it’s a benefit but in reality if you think about it, this person is gonna be stigmatized in the eye of his peers, school teachers, parents. In fact he’ll probably feel stigmatized in his own eyes and feel badly and we might even encourage towards this sort of behavior that we want to prevent. The point is that he will have been a victim of a prediction about him. And he can rightly say, “I will be the two percent that will not shoplift that I’ll exercise my moral choice.” So the solution seems to be in a big data world we want to somehow sanctify the notion of the human volition of human free will and to preserve that as a central attribute.
Kenneth Cukier is the data editor, following a decade at the paper covering business and technology, and as a foreign correspondent (most recently in Japan from 2007-12). Previously he was the technology editor of the Wall Street Journal Asia in Hong Kong and worked at the International Herald Tribune in Paris. In 2002-04 he was a research fellow at Harvard’s Kennedy School of Government. He is the co-author of “Big Data: A Revolution that Will Transform How We Work, Live and Think” (2013).