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 .
Google has unveiled 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 TCAV will help to uncover how its systems evaluate different factors when making evaluations.