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.
The federal government’s made huge progress in reducing security clearance processing times over the last several years. But there are some early signs of backsliding. As Federal News Network reported last week, the latest data shows top secret investigations took an average of 115 days in the fourth quarter of fiscal 2023 – up from 84 days during the same period last year.
The head of the IRS' cybersecurity operations says the Treasury agency is making progress on logging, multifactor authentication, and other aspects of "zero trust" security to help protect taxpayer data.
As agencies begin to formalize their AI programs and look at where to scale up pilots and use cases, federal and industry leaders point to prioritizing based on outcomes. Learn insights from DHS, NSF and VA, as well as Pegasystems in our new ebook.
ARPA-H plans to use generative AI internally, while exploring its use "across the patient, payer and provider sectors."
The Defense Department’s responsible artificial intelligence toolkit has 70 tools to help perform tasks like studying when things go awry, as well as tools to mitigate risk and reduce bias.
The department's AI strategy reflects Secretary of State Antony Blinken's focus on modernizing and expanding the role of U.S. diplomacy to focus on emerging tech issues.