With rapidly changing priorities, new threats, and an increasingly high expectation from citizens for digital services, government agencies must discover new ways to streamline their delivery of digital applications and systems. On top of that, they need to ensure that data and AI are being used responsibly. Responsible AI ensures that end-to-end model management addresses the specific risks of AI (i.e., discriminatory biases and lack of trans...

If your agency’s day-to-day operations are critically dependent on assets – such as processing equipment, facilities equipment, and infrastructure at large repair sites – maximizing uptime is a constant challenge. Without timely maintenance, equipment failure can be catastrophic, directly impacting operations and reducing mission readiness. The traditional approach of scheduled manual periodic checks and asset condition repor...

Implementing the widespread use of AI can be challenging with funding and training resources. Once the first stages of implementation have gone underway, an agency needs to tackle the problems with the ethical use of AI and ML. AI has the power to elevate the citizen experience, using predictions and recommendations, while reducing a major burden on governments. But, how does an agency ensure the ethical standards are there? How can we confirm...

ATARC’s AI and Data Policy Working Group intends to investigate the policy implications of AI personhood for the US Federal government. We believe the topic will become critically important as technology advances, public awareness grows, and the limitations of current policies become apparent. Our goal is to help federal policy makers develop and implement policies in this area that conserve American values while enabling the development...

AI systems need to be ethical, responsible, transparent, and explainable. AI and ML systems are greatly dependent upon their training data to ensure results from the algorithms are fair and ethical. These concerns are particularly important for government decision making that may affect citizens and services. Listen in as topic experts explore how the use of artificial intelligence to increase fairness and equity has become important throughou...

Financial regulators and law enforcement agencies were already stretched thin investigating huge volumes of suspicious activity reports filed annually by financial institutions. This problem has become incredibly hard with the rising number of cybercrimes and cryptocurrency crimes, as well as the need to monitor and enforce new Russian sanctions that are historically unprecedented in scale and scope. Government agencies are struggling to cope...

The ATARC Hyperautomation Working Group believes that government services can be delivered faster with streamlined and quality work products. ATARC's Hyperautomation Working Group invites teams to enter the Hackathon Challenge which will consist of government and industry leaders automating workflows and processes that provide improved citizen and employee experience. Teams will compete to demonstrate how the government and industry can levera...

GSA wants to improve the utilization of small businesses on federal contracts. In support of this goal, they would like to use AI and machine learning to analyze procurement data from the Federal Acquisition Service (FAS). As part of this effort, GSA asked the ATARC Data Analytics and AI Lab (ADAAL) to build a Spend Analysis prototype focused on analyzing contracts awarded by various agencies over the past few years. The prototype was built us...

Emerging Technologies are evolving at a faster pace than ever before, especially as the workforce pivots to a telework environment. Throughout this event, we will discuss several new and evolving technologies that are driving real change and innovation throughout the Federal Government: Drones, IOT, and VR.

Growing IT complexity means performing even routine operations can unduly tax agency IT resources – in fact, managing the potential billions of dependencies exceeds human capacity. Using artificial intelligence to automate IT operations (AIOps) makes the impossible possible, enabling IT teams to effectively manage complex environments without piling on new tasks or yet more training – and allowing them to focus on higher value work...