Communications of the ACM
Microsoft Is Developing a Tool to Help Engineers Catch Bias in Algorithms
Credit: Microsoft
Microsoft is developing a tool that can detect bias in artificial intelligence algorithms with the goal of helping businesses use AI without running the risk of discriminating against certain people.
Rich Caruana, a senior researcher on the bias-detection tool at Microsoft, described it as a "dashboard" that engineers can apply to trained AI models.
Bias in algorithms is an issue increasingly coming to the fore. Gabriele Fariello, a Harvard instructor in machine learning and chief information officer at the University of Rhode Island, says there are "significant . . . problems" in the AI field's treatment of ethics and bias today.
The list of algorithmic bias run amok seems to grow by the year. Research from Boston University and Microsoft shows that the data sets used to teach AI programs contain sexist semantic connections. And a study by MIT's Media Lab shows that facial recognition algorithms are up to 12 percent more likely to misidentify dark-skinned males than light-skinned males.
From VentureBeat
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