Topic: Mitigating Harm + Bias
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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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AI Action Plan Database
This is a searchable tool that compiles and categorizes over 4,700 policy recommendations submitted in response to the U.S. government's 2025 Request for Information on artificial intelligence policy.
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AI Strategy for the Federal Public Service 2025-2027
This strategy document establishes a governance framework and roadmap to ensure responsible, trustworthy, and effective AI use across Canadian federal institutions.
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AI and Government Workers: Use Cases in Public Administration
The report examines how AI deployment across state and local public administration such as chatbots, voice transcription, content summarization, and eligibility automation are reshaping government work.
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AI in government: fundamentals training
Guidance outlining how Australian government agencies can train staff on artificial intelligence, covering key concepts, responsible use, and alignment with national AI ethics and policy frameworks.
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Less Discriminatory Algorithms
The article discusses the phenomenon of model multiplicity in machine learning, arguing that developers should be legally obligated to search for less discriminatory algorithms (LDAs) to reduce disparities in algorithmic decision-making.
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NIST AI Risk Management Framework (RMF 1.0)
NIST has created a voluntary AI risk management framework, in partnership with public and private sectors, to promote trustworthy AI development and usage.
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Disability, Bias, and AI
This report explores key questions that a focus on disability raises for the project of understanding the social implications of AI, and for ensuring that AI technologies don’t reproduce and extend histories of marginalization.
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Digital Welfare States and Human Rights
This UN report warns against the risks of digital welfare systems, emphasizing their potential to undermine human rights through increased surveillance, automation, and privatization of public services.
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Enabling Principles for AI Governance
A report from the Center for Security and Emerging Technology (CSET) discussing enabling principles for artificial intelligence (AI) governance.
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ITEM 10: How a Small Legal Aid Team Took on Algorithmic Black Boxing at Their State’s Employment Agency (And Won)
This report investigates how D.C. government agencies use automated decision-making (ADM) systems and highlights their risks to privacy, fairness, and accountability in public services.
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AI Toolkit
Guidance and Resources for Policymakers, Teachers and Parents to Advance AI Readiness in Ohio Schools.