in ,

A practical approach for addressing bias in artificial intelligence – Press and Guide


Over the past decade, there’s been no shortage of examples of human biases creeping into artificial intelligence processes.

Back in 2020, Robert Williams, a Black Farmington Hills resident, was arrested and jailed after a police facial recognition algorithm wrongfully identified him as a man shoplifting on security footage — a known weakness such systems have in accurately identifying people with darker skin. In 2019, researchers demonstrated that a software system widely used by hospitals to identify patient risks was preferencing white people for many types of care. A few years ago, Amazon mostly abandoned a system it was using to screen job applicants when it discovered it was consistently favoring men over women.

How human biases get baked into AI algorithms is a complicated phenomenon.



Source link

What do you think?

NY Winter weather webcams – FOX 10 Phoenix

Artificial Intelligence Tech Solutions Inc (OTCMKTS: AITX) Move Northbound Brewing as Robotics AI Innovator Raises $3.5 Million and Reverses Off $0.006 Lows