The Fed Mission Success Round Up: IRS Progress on Digitization Efforts; Planned AI Use Cases; and 2024 NDAA and Emerging Tech
Welcome to the Fed Mission Success News Round Up brought to you by Makpar. Each week, we will provide a summary of actionable news and insights to help aid in overall mission success for Federal agency IT decision-makers and influencers.
IRS is Making Progress on its Digitization Efforts, Commissioner Says
The Internal Revenue Service is making progress in its push toward digitization, a move made possible by $80 billion in funding from the Inflation Reduction Act, said Commissioner Danny Werfel at the recent ACT-IAC/DCI CX Summit.
Agencies Have More Than 1,200 AI Uses Planned or in Operation
A recent GAO report captures the confirmed planned use cases for AI systems in government agencies and ensures that existing federal guidance is followed when implementing and leveraging AI solutions.
Priming the Workforce is Key to Future AI Efforts, Federal IT Leaders Say
As agencies are adopting artificial intelligence (AI) tools to support their missions, officials are taking deliberate and cautious steps to ensure that their workforces are comfortable with using and leveraging these types of new technologies.
The FAA is Developing an Air Traffic Tool Built for the Space Age
The FAA is exploring the development of solutions that will help to minimize the impact of rocket launches on commercial flight schedules.
Energy Announces New Office to Handle AI, Quantum and More
The Department of Energy announced a new office that brings together expertise across the fields of artificial intelligence, biotechnology, quantum and semiconductors to accelerate innovative progress.
2024 NDAA Eyes Rapid ATOs for Emerging Tech
The fiscal year 2024 National Defense Authorization Act filed last week includes key emerging technology priorities, including the military adoption of artificial intelligence as a warfighter assistant.
NIST Issues Guidance on a Mathematical Approach to Data Privacy
NIST recently launched new draft guidance focused on clarifying how organizations can adopt a mathematical algorithm broadly used to quantify how much privacy risk is posed to individuals from a given dataset.