Google has developed a new tool designed to address concerns over the bias of its AI and machine learning ( ML ) systems . Meanwhile, enterprises are striving for explainable AI. The technology , called Testing with Concept Activation Vectors ( TCAV ) , aims to better understand which signals a neural network model draws on to make predictions . Google , whose AI systems have been accused of biases based on race , gender and location , believes it will help to uncover how its systems evaluate different factors when making predictions .
Google has developed a new tool designed to address concerns over the bias of its AI and machine learning ( ML ) systems . The technology , called Testing with Concept Activation Vectors ( TCAV ) , aims to better understand which signals a neural network model draws on to make predictions . Google , whose AI systems have been accused of biases based on race , gender and location , believes it will help to uncover how its systems evaluate different factors when making predictions .