Intel Wants to Beat Bias AI Training Data
Intel has filed a patent fora system designed to recognize social bias in its AI training models. As Brian Green says, unbiased data is key to the validity and accuracy of AI systems.
"It’s garbage in, garbage out. If you have biased data going into training your model, you’re going to end up with a model that is biased, and is reproducing those biases in its predictions or in its recommendations. So if you’re using it to, say, predict who you should give a loan to, then that ends up just reproducing the bias in an automated form. It takes all that human bias that was there in individual people, and just scales it up. It’s really important to make sure that these systems are not just reproducing human biases at a mass scale."
Brian Green, director of technology ethics, quoted by The Daily Upside.