As noted in a recent New York Times article, “there is a widespread belief that software and algorithms that rely on data are objective. But, software is not free of human influence. Algorithms are written and maintained by people, and machine-learning algorithms adjust what they do based on people’s behavior.” In an era where big data is used for decision-making purposes, the legal profession grapples with possible hidden bias and the need for greater transparency in the use of black-box algorithms. This session will explore data ethics and the need for its inclusion in information governance conversations within corporations as entities collect, use, and monetize client data. The session will explore C-suite transparency in connection with software used for insider threat monitoring and surveillance, making hiring decisions, and monitoring various forms of employee behavior.