Topic: Generative AI
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Colorado Statewide GenAI Policy
This policy supports the appropriate development, deployment, and use of generative artificial intelligence (GenAI) systems, products, services, tools, and content within consolidated state agencies in Colorado.
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AI Translation Assistants for Unemployment Insurance Benefits
Learn how to use generative AI to quickly create unemployment insurance translations that are accurate, easy to understand, and tailored to your state.
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Responsible Use of Generative Artificial Intelligence for the Federal Workforce
Thoughts from the U.S. Office of Personnel Management on the responsible use of generative artificial intelligence (GenAI) for the federal workforce.
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InnovateUS AI Resources
AI resources for public professionals on responsible AI use, including a course showcasing real-world applications of generative AI in public sector organizations.
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AI-Powered Rules as Code: Experiments with Public Benefits Policy
This report documents four experiments exploring if AI can be used to expedite the translation of SNAP and Medicaid policies into software code for implementation in public benefits eligibility and enrollment systems under a Rules as Code approach.
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Parking signs and possible futures for LLMs in government
Government agencies adopting generative AI tools seems inevitable at this point. But there is more than one possible future for how agencies use generative AI to simplify complex government information.
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A Guide to Responsible and Efficient Use of Generative Tools
This video shows you how to get started with using Generative AI tools, including Bard, Bing, and ChatGPT, in your work as public sector professionals.
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AI-Powered Rules as Code Government Briefing
The DBN and MDI held a government briefing of their top takeaways from their recent research on AI-Powered Rules as Code.
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State of California: Benefits and Risks of Generative Artificial Intelligence Report
This report on the use of Generative AI in State government presents an initial analysis of the potential benefits to individuals, communities, government and State government workers, while also exploring potential risks.
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Controlling Large Language Models: A Primer
Concerns over risks from generative artificial intelligence systems have increased significantly over the past year, driven in large part by the advent of increasingly capable large language models. But, how do AI developers attempt to control the outputs of these models? This primer outlines four commonly used techniques and explains why this objective is so challenging.
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What Are Generative AI, Large Language Models, and Foundation Models?
What exactly are the differences between generative AI, large language models, and foundation models? This post aims to clarify what each of these three terms mean, how they overlap, and how they differ.
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Using open-source LLMs to optimize government data
Companies have been developing and using artificial intelligence (AI) for decades. But we've seen exponential growth since OpenAI released their version of a large language model (LLM), ChatGPT, in 2022. Open-source versions of these tools can help agencies optimize their processes and surpass current levels of data analysis, all in a secure environment that won’t risk exposing sensitive information.