EQUATE is an acronym for Equity, Accountability, Transparency, and Explainability. These areas are commonly referred to as FAT (fairness, accountability, and transparency). 

EQUATE is an initiative of CICS faculty who are engaged in research and education related to equitable algorithms and systems. Our educational efforts include coursework in ethics and algorithm design that respects the values of fairness and transparency. Our research efforts explore EQUATE topics within software systems and programming languages, machine learning, and vision, theory, and data management systems. 

To learn more, visit the EQUATE website.