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Even though AI is all code and algorithms, it can still carry bias and discriminate against people by Jake Harfield, freelance writer based in Perth, Australia.
Artificial intelligence capabilities are expanding exponentially, with
AI now being utilized in industries from advertising to medical
research. The use of AI in more sensitive areas such as facial
recognition software, hiring algorithms, and healthcare provision, have
precipitated debate about bias and fairness. 
Photo: MakeUseOf
Bias is a well-researched facet of human psychology. Research regularly exposes our unconscious preferences and prejudices, and now we see AI reflect some of these biases in their algorithms.
So, how does artificial intelligence become biased? And why does this matter?...
AI Bias Isn't Here to StayAI bias occurs when algorithms make biased or inaccurate predictions because of biased inputs. It occurs when biased or incomplete data is reflected or amplified during the development and training of the algorithm.
The good news is that with funding for AI research multiplying, we’re likely to see new methods of reducing and even eliminating AI bias.
Source: MakeUseOf
