The ATARC AI Working Group is a technical working group of government, academia and private industry thought leaders collaborating on topics of interest to the Federal AI community. Working in collaboration with the Federal Government to make recommendations for methods to increase efficiency and reduce cost using cutting-edge AI solutions.
Key Group Objectives
- Form dedicated Project Teams that work together with government participants and focus on specific AI topic areas
- Identify AI and ML technology and associated contract vehicles that government can utilize to procure AI and ML products, services and solutions
- Define AI sub-components
Key Group Activities
- Bi-weekly status call with members of your project team
- Ability to attend meetings for all other project teams
- Organize government and industry events hosted by your project team
- Quarterly in-person meetings at government location
- Project deliverables to support AI in federal government
- Weekly leadership call to discuss project activities & progress
Working Group Project Teams
The ATARC AI Working Group is a technical working group of government, academia and private industry thought leaders collaborating on topics of interest to the Federal AI community. The group’s goal is to provide the Federal Government with recommendations for methods to increase efficiency and reduce cost using cutting-edge AI solutions.
Ron Schmelzer, Cognilytica
Kathleen Walch, Cognilytica
Ethics and Responsible AI
This project team will focus on making sure that AI systems are ethical, responsible, transparent, and explainable.
Anil Chaudhry, CBP
Conversational Augmented Intelligence Project Team
The project team will examine all facets of the Emerging Technology Sector, how to bridge the gap between private and public business, and how to get all units working in sync with one another.
Keith Nakasone, GSA
Industry Vice Chair
Alex Jacome, Achevion Solutions
Autonomous System Project Team
This project team will examine systems that are able to accomplish a task, achieve a goal, interact with surroundings with minimal or any human involvement.
Michael Kanaan, Air Force
Standard Data Project Team
This project team will examine standard data, interoperability, and expectations as it relates to AI and ML
Steven Harrison, DoD JAIC
IoT Project Team
This project team will look at the Internet of Things and how it impacts AI. From a healthcare perspective, this project team will ask the question, “How can AI help with the quality of life?”
Joseph Ronzio, VHA
Industry Vice Chair
Ben Baldi, Sumo Logic
Robotic Process Automation Project Team
This project team will examine ways of using ML to make automation tools and technologies more intelligent. They will be taking a deep dive into RPA and documented/rules-based processes, which is often the logical and critical first step towards automation, adding value and generating ROI for a process/organization. Many federal agencies/employees and potential participants in this community are knew to the concept of automation and need clarification on the terms/concepts involved. This project team will also create a consensus around common definitions, as well as consider more advanced automation tools that use Machine Learning, Natural Language Processing, Blockchain, etc.
Mitchell Winans, IRS
Predictive Analytics, Decision Support & Patterns/Anomalies Project Team
This project team will examine how to best helping humans make better decisions through models that help predict future data and behavior.
Alexander Measure, Bureau of Labor and Statistics
Government Vice Chair
Chakib Chraibi, NTIS
Value Proposition of AI and ML Project Team
This project team will examine how to solve current problems of every day circumstance and how to promote situational awareness.
Nevin Taylor, USAF Deputy CTO Special Programs, Harvard Nation International Security Fellow, White House Presidential Innovation Fellow
Gabe Chang, IBM Ryan Branon, IBM