Overcoming AI and machine learning bias for global good - SiliconANGLE

Computers have been taught to use data to establish patterns where possible. And while the delegation of these activities to machines has helped mankind in many ways, bias still exists in technologies such as artificial intelligence. For instance, there are biases in facial recognition systems, according to Alex Hanna (pictured), director of research at The Distributed AI Research Institute. "The fact remains that facial recognition is used and is disproportionally deployed on marginalized populations," she said. "So in the U.S., that means black and brown communities. That's where facial recognition is used disproportionately."