Tag Archives: artificial intelligence

Building AI Knowledge = Building Your Career

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Artificial intelligence (AI) is becoming a key element in every workplace. More than a tool, AI is a colleague, helping us work more efficiently and providing better access to data. While AI is not being built and implemented to replace humans, some people may find their roles greatly altered by its use. While AI itself will not replace an employee, a person who cannot work with AI may find themselves replaced by a person who can. Ensuring you understand how to use AI in your daily work is critical to ongoing career growth.

Understanding AI does not mean having to become a programmer, a software engineer, or a data scientist, and a deep dive into its technical workings is not necessary. What will help is a hands-on understanding of how to utilize AI for tasks, as well as how to interpret and use the data AI generates. Continue reading →

How Agencies are Building Experience and Trust with AI

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State and local agencies are looking for ways to incorporate artificial intelligence (AI), and specifically generative AI, into their operations. While the promise of increased efficiency is a driving force in AI adoption, there is considerable resistance to implementing this technology when it remains largely untested in government settings. Additionally, states and localities lack the personnel and infrastructure to manage and effectively use some of the more advanced AI solutions now available.

The adoption and success of AI in state and local government requires an open mind and a measured approach. Agencies are looking for low-risk, high-reward opportunities to begin testing out AI effectiveness. A recent report from the National Association of State Chief Information Officers found that transcribing meetings, managing and generating documents, and generating software code were some of the top processes for which state CIOs reported currently using generative AI. Continue reading →

DHS’s Commitment to Innovation

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Under its umbrella mission of "securing the nation from the many threats we face," the Department of Homeland Security (DHS) defines several mission areas critical to meeting this goal. These include countering terrorism and preventing threats, securing and managing borders, administering immigration, securing cyberspace, building resilience, and responding to incidents, as well as combating crimes of exploitation. To support these areas, the DHS Innovation, Research & Development Strategic Plan defines eight scientific areas as focal points for research:

  • Advanced sensing
  • AI and autonomous systems
  • Biotechnology
  • Climate change
  • Communications and networking
  • Cybersecurity
  • Data integration, analytics, modeling, and simulation
  • Digital identity and trust

In a previous post, we looked at DHS's work with artificial intelligence (AI), digital identity, and climate change. In this post, we'll take a look at the activity happening in more of these eight areas. Continue reading →

AI in 2024 and Beyond

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Driven both by genuine need and by Executive Order, agencies across government made great strides in 2024 to incorporate Artificial Intelligence (AI) into their IT systems and business processes to increase efficiency and introduce new insights for data-driven decision-making.

AI is widely used across government in a variety of capacities, including fraud detection at the Internal Revenue Service and Social Security Administration, public health data analysis at the Centers for Disease Control and Prevention and the Food and Drug Administration, powering chatbots to improve customer service at General Services Administration and Veterans Affairs, and more. Continue reading →

AI and National Security

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Artificial Intelligence (AI) can greatly improve human efficiency and deliver insights that drive decision-making. However, for all of its benefits, AI also introduces security risks both for the organizations that are using it and for the nation at large. The National Security Memorandum (NSM) on Artificial Intelligence, released in the fall of 2024, details national security strategy and policy toward AI. While this particular guidance is aimed at agencies directly involved in national security, its three high-level policy objectives should be part of every agency's AI strategy.

  1. Maintain U.S. leadership in the development of advanced AI systems

A key focus is on not just using AI but driving responsible AI development. To do so, the U.S. needs an AI-capable workforce. This means having the experts that develop the technology as well as training the operational and tactical workforce in how to best use it. Continue reading →