Artificial Intelligence and Data Analytics Mission Area
Working Group Strategic Partner:Â 
Artificial Intelligence and Data Analytics Mission Area
There are many interrelated aspect of data governance and management that Federal Agencies are responsible for. Key considerations include how data is collected, stored, and archived as well as public access to government data. Here are a few of the most common policy elements that you may encounter in dealing with IT systems put together by ATARC Board member, Bill Hunt.
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 DODÂ 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.
Anil Chaudhry
Government Chair
DOTÂ Pipeline and Hazardous Materials Safety Administration (PHMSA)
Gary Williams
ATARC Board Chair
BAH
John Sprague
ATARC Board Chair
National Aeronautics and Space AdministrationÂ
Monica McEwen
ATARC Board Liaison
Deloitte
Kathleen Walch
Analyst Chair
Cognilytica
Jeff Adams
Industry Vice Chair
Tech Data
Working Groups
AI and Data Policy
The AI and Date Policy Working Group examines standard data, interoperability, trustworthiness, autonomy, algorithms, and expectations as it relates to AI and ML.
Ken Farber
Industry Chair
TekSynap
Anthony Boese
Government Chair
VA
Generative AI
The adoption of Generative AI in government is emerging as a crucial step toward building a more responsive, efficient, and innovative public sector. Generative AI technologies, such as natural language processing and machine learning, offer transformative potential for automating routine tasks, improving decision-making processes, and fostering transparency.Â
Critical considerations must be taken to ensure cybersecurity and ethical use through continuous evaluation and adaptation of regulatory policies, which are necessary to keep pace with technological advancements.Â
Frank Indiviglio
Government Chair
National Oceanic and Atmospheric AdministrationÂ
Nathan Manzotti
Government Vice Chair
General Services AdministrationÂ
Mike Adams
Carahsoft Chair
Carahsoft