MIT develops algorithm that can 'de-bias' facial recognition software

MIT researchers believe they've figured out a way to keep facial recognition software from being biased. To do this, they developed an algorithm that knows to scan for faces, but also evaluates the training data supplied to it. The algorithm scans for biases in the training data and eliminates any that it perceives, resulting in a more balanced dataset. MIT researchers believe they've figured out a way to keep facial recognition software from being biased. They developed an algorithm that's capable of balancing training data'We've learned in recent years that AI systems can be unfair, which is dangerous when they're increasingly being used to do everything from predict crime to determine what news we consume,' MIT's Computer Science & Artificial Intelligence Laboratory said in a statement.