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IT-17 Use of Artificial Intelligence in State of Ohio Solutions
Policy on the use of artificial intelligence (AI) in the State of Ohio
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Commonwealth of Massachusetts Acceptable Use and Development of Generative Artificial Intelligence
This document details acceptable uses and development of Generative Artificial Intelligence by The Commonwealth of Massachusetts.
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State of South Dakota Generative Artificial Intelligence Guidelines & Acceptable State Use
The state of South Dakota Bureau of Information and Telecommunications (BIT) designed guidelines for the responsible use of AI-generated content in state government agencies, emphasizing the need for proofing, editing, fact-checking, and using AI-generated content as a starting point, not the finished product.
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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.
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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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Framework for State, Local, Tribal, and Territorial Use of Artificial Intelligence for Public Benefit Administration
This framework outlines USDA’s principles and approach to support States, localities, Tribes, and territories in responsibly using AI in the implementation and administration of USDA’s nutrition benefits and services. This framework is in response to Section 7.2(b)(ii) of Executive Order 14110 on Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence.
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The Social Life of Algorithmic Harms
This series of essays seeks to expand our vocabulary of algorithmic harms to help protect against them.
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Use of Advanced Automation in SNAP
This 2024 memo outlines guidelines for state agencies' use of advanced automation in SNAP administration.
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Popular Support for Balancing Equity and Efficiency in Resource Allocation
This study examines public attitudes toward balancing equity and efficiency in algorithmic resource allocation, using online advertising for SNAP enrollment as a case study.
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Algorithmic Accountability: A Primer
The primer–originally prepared for the Progressive Congressional Caucus’ Tech Algorithm Briefing–explores the trade-offs and debates about algorithms and accountability across several key ethical dimensions, including fairness and bias; opacity and transparency; and lack of standards for auditing.
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Screened & Scored in the District of Columbia
This report by EPIC investigates how automated decision-making (ADM) systems are used across Washington, D.C.’s public services and the resulting impacts on equity, privacy, and access to benefits.
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State of California Benefits and Risks of Generative Artificial Intelligence Report
A report from the State of California presenting an initial analysis of where generative AI (GenAI) may improve access of essential goods and services.