Topic: Automation + AI
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State of New York Acceptable Use of Artificial Intelligence Technologies
The New York State Office of Information Technology established guidelines for the acceptable and responsible use of Artificial Intelligence technologies by state entities.
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Use of Publicly Available Generative AI
Guidelines for the use of publicly available generative artificial intelligence (AI) in the State of North Carolina
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What Makes a Good AI Benchmark?
This brief presents a novel assessment framework for evaluating the quality of AI benchmarks and scores 24 benchmarks against the framework.
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How to determine whether AI is an appropriate solution for public sector challenges
This toolkit provides a checklist of items to help determine whether AI-powered tools are appropriate for specific use cases in the public sector.
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Task Force on Artificial Intelligence, Emerging Technology, and Disability Benefits: Phase One Report
This report offers a detailed assessment of how AI and emerging technologies could impact the Social Security Administration’s disability benefits determinations, recommending guardrails and principles to protect applicant rights, mitigate bias, and promote fairness.
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Document extraction to accelerate application processing
This case study details the development of a document extraction prototype to streamline benefits application processing through automated data capture and classification.
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AI Data Readiness Checklist
A data artificial intelligence (AI) checklist from the Commonwealth of Virginia.
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AI Technologies Today at BenCon 2024
Sarah Bargal provides an overview of AI, machine learning, and deep learning, illustrating their potential for both positive and negative applications, including authentication, adversarial attacks, deepfakes, generative models, personalization, and ethical concerns.
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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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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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Closing the AI accountability gap: defining an end-to-end framework for internal algorithmic auditing
This paper introduces a framework for algorithmic auditing that supports artificial intelligence system development end-to-end, to be applied throughout the internal organization development lifecycle.