AI
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How Health Tech Leaders Use AI to Combat Fraud
Following the Public Health Emergency, fraud, waste, and abuse prevention continues to be a top priority for the Centers for Medicare and Medicaid Services.
7m read -
Federal Health Tech Leaders Combat AI Bias
Federal leaders discuss how they are tackling the challenges around AI to meet mission needs in health care.
30m watch -
Pentagon Eyes Next Step in Zero Trust Implementation
The Defense Department is on a path to achieve a target level for zero trust by 2027, but the implementation process will be arduous and highly complex.
7m read -
VA’s ASPIRE Program is Improving Data Literacy
The cross-government training program aims to improve core competencies needed for the evolving digital and technology landscape.
25m listen -
Unpacking NIST’s New AI Risk Management Framework
The new framework aims to improve trustworthiness and governance of emerging artificial intelligence technologies.
14m listen -
Continuing VA’s Journey For AI in Health Care
VA’s Dr. Michael Kim explains recent programs and pilots informing the future of AI in veteran health care.
28m listen -
SOCOM’s ‘Data Readiness’ Plans for AI, Cyber
Special Operations Command’s data chief highlights new priorities and challenges to data management.
41m listen -
Energy Lab Leader Sees AI as a 'Disruptor' For Climate and Social Change
In the last of this two-part interview, Kelly Rose outlines how she’s considering standards and other social challenges for AI.
29m listen -
How this Energy Lab is Unlocking the ‘Big Picture’ with Responsible AI
The Department of Energy is using AI to enable environmental missions.
27m listen -
AI Impacting Government Services
New AI frameworks, blueprints and ethical guidelines are impacting federal agencies.
27m listen -
HHS Turns to AI for COVID-19 Research
HHS shared AI/ML use cases to promote transparency and spur innovation at the annual AFCEA Health IT Summit.
7m read -
Ethical AI Miniseries: VA Developing Strategies for AI Governance
VA's Gil Alterovitz discusses new strategies aimed to make AI development ethical and trustworthy.
29m listen