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Airmen and guardians can now experiment with commercial generative AI and a new policy lays out how they can do it safely.
Lawmakers hope the IC's own innovation unit will help intel agencies better adopt emerging technologies.
The White House executive order on AI is heavily positioned around data protection, privacy and disclosure. All these concepts are important priorities when considering how AI is used in modeling and accelerating the business process…
Federal and industry experts say ensuring your organization’s data is current, reliable, kept private and secure will help accelerate the use of artificial intelligence tools to improve decision making.
The Defense Intelligence Agency is finalizing its artificial intelligence strategy to control the use of technology for decision support and human-machine teaming when providing intelligence to warfighters and policymakers.
The director of NGA said a major RFP for commercial data services is coming, while the agency is also pressing forward on artificial intelligence initiatives.
Federal agencies see lots of possibilities for using artificial intelligence tools in their day-to-day work. But they've only put a fraction of those ideas into practice.
As the artificial intelligence phenomenon rolls on, the question emerges: What are the cybersecurity-attack implications of AI? Now Carnegie Mellon University's Software Engineering Institute has formed a team called the Artificial Intelligence Security Incident Response Team. It's working with sponsors in the Defense and Homeland Security Departments. For more, the Federal Drive with Tom Temin spoke with the Director of the CERT division of the Software Engineering Institute, Greg Touhill.
Within the DoD’s massive data repositories lie solutions to problems ranging from how best to counter cyber threats to optimizing talent management to averting equipment downtime to ensuring operational readiness. AI-guided data exploration leverages AI to find what really matters within these enormous datasets, at speed.
Herb Kelsey, the Project Fort Zero Team Leader at Dell Technologies, said agencies have the opportunity to focus on the policy and process side and not the technology piece of the zero trust architecture.
Another challenge arising during the integration of AIOps into federal agencies' IT operations is the disruption caused by external factors. These disruptions result in shifts in data and models that may render AI systems less accurate.
“Our goal is to allow for our users, our business users, across TSA to be able to better access their data and have it readily available,” Deputy CIO Kristin Ruiz said.
Planning for artificial intelligence should start with whys, that is, the use cases. After that, think about the data strategy to train algorithms and support ongoing AI deployment. Without a solid data strategy, an AI project could fail because of erroneous output.
The White House executive order on artificial intelligence gathered into one place all the concerns and cautions floating around for years. How to protect privacy in training data. How to avoid algorithmic bias. For more on how agencies can improve their AI game, Federal Drive Host Tom Temin spoke with the founder of the FAIR Institute, Nick Sanna.
Weekly interviews with federal agency chief information officers about the latest directives, challenges and successes. Follow Jason on Twitter. Subscribe on Apple Podcasts or Podcast One.