Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...
Eric Siegel on Bloomberg Businessweek
  Listen to Eric Siegel, former Columbia University Professor,...
SHARE THIS:

6 years ago
Justice Can’t Be Colorblind: How to Fight Bias with Predictive Policing

 Originally published by Scientific American Predictive policing uncovers racial inequity, which it threatens to perpetuate – but, if we turn things around, it also presents an unprecedented opportunity to advance social justice. Law enforcement’s use of predictive analytics recently came under fire again. Dartmouth researchers made waves reporting that simple predictive models – as well as non-expert humans – predict crime just as well as the leading proprietary analytics software. That the leading software achieves (only) human-level performance might not actually be a deadly blow, but a flurry of press from dozens of news outlets has quickly followed.

This content is restricted to site members. If you are an existing user, please log in on the right (desktop) or below (mobile). If not, register today and gain free access to original content and industry news. See the details here.

Comments are closed.