With the twenty-first century’s megaproliferation of information, artificial intelligence algorithms were touted by technology developers as a supposedly inherently neutral way to cut through the noise, providing internet users more of what they wanted and less of what they didn’t. In reality, for information-seeking and evaluating purposes, algorithms have provided yet another flawed heuristic with a major potential for baked-in, hidden bias. This chapter explores where algorithmic bias comes from, how it shows up in everything from entertainment sources to news feeds to even library resources, and how to teach about combating it on both an individual and systemic level.