Data Governance
As required by Foundations for Evidence-Based Policymaking Act of 2018, EPA assigned a Chief Data Officer. The EPA CDO implements the Evidence Act, improving data management practices, and creating a data governance body.
Advisory Councils
EPA’s CDO established and leads a Data Governance Advisory Council to support data governance projects within EPA. The Federal Data Strategy Action Plan and the Evidence Act define data governance goals for the DGC.
EPA’s Chief Information Officer has a Strategic Advisory Council. The council provides advice on EPA’s IT/IM strategic direction to optimize support for the Agency’s mission and business needs. Read the Chief Information Officer Strategic Advisory Council Charter (pdf) to discover the background, purpose, scope and more related to the CIO SAC.
Artificial Intelligence
Artificial Intelligence is a technology that simulates human intelligence processes to make decisions and perform tasks, often using business information. AI tools collect and process large amounts of data that may contain highly sensitive information, such as financial, confidential business and Personally Identifiable Information. AI also enables computers to perform a variety of functions, including the ability to see, understand, and translate spoken and written language, analyze data, and make recommendations.
In support of this, EPA established the DGAC, made up of key principles from across the agency and co-chaired by the CAIO.
- The DGAC keeps an Artificial Intelligence Inventory . This inventory is combined with other federal agency AI use cases on AI.gov.
- The DGAC released EPA's AI Compliance Plan to define how EPA meets federal requirements related to AI.