Federal Artificial Intelligence News and Analysis
News and analysis covering the U.S. government’s advances in artificial intelligence, machine learning and robotic process automation. Federal agencies continue to make remarkable strides in the implementation of automation technologies to essential services, radically improving their efficiency and quality of delivery. Additionally, agencies including the departments of Veterans Affairs and Health and Human Services have begun applying artificial intelligence to medical care and public health quandaries, making significant leaps in diagnostics, research and epidemiology.
Federal agencies are focusing on data interoperability and knowledge-sharing partnerships to support increasingly advanced research initiatives.
Oki Mek shares how the agency is gearing up data efforts for a collaborative approach to AI.
JAIC is hopeful an increase in AI opportunities will enable the services to leave behind a hardware past and embrace a software future.
As an early adopter of zero trust, the agency’s cyber chief clarifies some misconceptions.
Federal leaders discuss the challenges and opportunities around the technology for nationwide security issues.
Use cases for the technology are enabling full national security protections across government.
AI workforce experts highlight the importance of diversity and robust education development to foster a stronger AI workforce.
Artificial intelligence and machine learning capacities are allowing analysts to produce quicker, more streamlined assessments.
The agency adopted a new artificial intelligence policy focused on building out existing capacities while fostering veteran trust.
Ahead of the release of the Army Digital Transformation Strategy, Army CIO Raj Iyer and others discuss what it takes to achieve their vision of a unified network.
Security threats facing next-generation networks need proactive approaches amid cybersecurity and digital modernization strategies.
Data management is a journey, and DHS components try to learn from each other.
