As automation takes a larger and more important role in the digital world, an increasing proportion of our interactions and experiences are mediated by opaque algorithms. This includes everything from social media feeds to credit scores, red light cameras, and even automated hiring practices, among many other examples. In this interactive seminar, Hall and Deford (Mathematics) will use case studies drawn from recent events to explore the issue of algorithmic bias and data security from a mathematical perspective, with a goal of describing how these ostensibly neutral computational methods can create or deepen inequality in our society. Hosted by the WSU Pullman Common Reading Program. You can attend this session virtually via the Zoom platform.