Leadership Team

The White House Executive Order on American AI Initiative signifies unquestionable effort to promote AI technology and innovation in the federal government as a whole. This initiative has further translated into agency-level undertakings such as the DOD Joint Artificial Intelligence Center (JAIC), and the GSA Artificial Intelligence Center of Excellence.

ATARC is backing the federal CTO’s regulations for executing AI in ways that will make the quality of citizens’ lives grow, as well as support the administration’s directions successfully, by sharing knowledge for productive uses of AI. United States security, knowledge, and economic growth depends on it. Real-budgeted AI solutions, based on data governance and accountability is the goal for the years ahead.

Artificial Intelligence and Data Analytics Guidebook

This group’s purpose is to develop a “reference guide” for project managers, Chief Information Officers (CIO), and Government Senior Managers.  The guidebook will outline AI and data analytics best practices and include repeatable and resilient models, core analytic terms of reference, use cases, and supporting definitions while promoting data standardization, optimization, and innovation.

Robotic Process Automation

This group’s objective is to aggregate and educate Agencies(federal, state and local), Accademia and Industry on the issues unique to Government regarding the adoption and roll-out of RPA and to explore solutions to those challenges. The RPA Project Team will help agencies understand how to use RPA as a standalone solution but also show how other digital labor can be integrated with RPA to create a digital workplace where humans and technology work best to make government better.

Ethics and Responsible AI

This group will focus on making sure that AI systems are ethical, responsible, transparent, and explainable.

Internet of Things 

AI and Data Policy Including Standards 

Predictive Analytics

This group will examine and disseminate to the Federal community Predictive Analytics trends, innovations, lessons learned, and best practices to enable others to take effective action and achieve mission outcomes.

This may include sharing prototypes, presentations, and position papers on the use of data analytics and predictive models to make better decisions, identify patterns and opportunities, and mitigate potential risks.