The hype around the capabilities of Big Data can lead to a backlash if something does not work. Recently, an Italian judge held 7 scientists responsible for failure to predict an earthquake. When are data scientists responsible? Please vote!
Recently, an Italian judge
held 7 scientists criminally responsible
for failure to predict an earthquake.
Earthquake prediction is very uncertain, so it was clearly a bad decision, but data scientists should be aware that the hype around the capabilities of Big Data can lead to a backlash if something does not work.
Excluding cases when predictions are trivial (sun will come up tomorrow) or
impossible beyond a random guess, when should data scientists be responsible for their predictions?
This poll is now closed, but here are the results of KDnuggets Poll:
Should data scientists / data miners be responsible for their predictions?
|
Twitter |
Facebook |
RSS |
About KDnuggets