Machine Learning has a Flaw-- It's Gullible

Artificial intelligence and machine learning technologies are poised to supercharge productivity in the knowledge economy, transforming the future of work. Machine learning (ML)--technology in which algorithms "learn" from existing patterns in data to conduct statistically driven predictions and facilitate decisions--has been found in multiple contexts to reveal bias. Such biases often result from slanted training data or skewed algorithms. It comes when outside individuals stand to benefit from bias predictions, and work to strategically alter the inputs. A couple of the most common contexts are perhaps job applicants and people making a claim against their insurance.