Algorithms are the new boogie men when it comes to social control and institutional discrimination. Researchers and now policy-makers decry bias and lack of accountability in the algorithms and predictive analytics that determine who gets hired for a job, who can get a loan, who qualifies for insurance, and even who goes to jail. This short introduction to a panel describes the landscape, lists key questions regarding bias in analytics, and describes the difficulties with the common suggestion that algorithms and code be published. The actual panel was recorded and posted as a video at https://media.libreplanet.org/u/libreplanet/m/algorithmic-bias-where-it-comes-from-and-what-to-do-about-it/