How do you make an ethical algorithm?
Researchers need to work to eliminate bias in algorithms, more accurately communicate to the public the limitations of machine learning, and build systems that prioritize the health and wellness of humans. That was the message of five artificial intelligence experts from academia and industry who discussed the challenges of integrating machine learning into the workplace on Friday at Northeastern.
