University of Wisconsin–Madison
Progressive Local Government
For the 21st Century

ProGov21 Policy Library

Policy Area
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Year
Artificial Intelligence and the Future of Teaching and Learning: Insights and Recommendations
Type Policy Brief or Report
Year 2023
Level National
State(s) All States
Source U.S. Department of Education
Policy Areas Data & Technology, Education
The integration of AI in education presents both opportunities and risks, including potential biases and privacy concerns. School districts should develop policies to ensure AI is used ethically and equitably in education, with humans maintaining decision-making authority. These policies...
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Artificial Intelligence and Copyright Survey
Type Policy Brief or Report
Year 2020
Level National
State(s) All States
Source Journal of Science Policy & Governance
Policy Areas Data & Technology
The rapid developments in Artificial Intelligence (AI) present a serious challenge to the American copyright system and future advancements in the AI industry. These industries rely on intellectual property protections to maintain equilibrium between productivity, remuneration, and...
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Mobility: The Socioeconomic Implications of Autonomous Vehicles
Type Policy Brief or Report
Year 2017
Level City or Town, National
State(s) All States
Source University of Michigan: Gerald R. Ford School of Public Policy
Policy Areas Transportation & Mobility, Data & Technology
Autonomous vehicles (AVs) are vehicles that have some degree of automation in their capabilities. This report highlights some of the positive and negative economic, infrastructural, environmental, and socioeconomic implications of the widespread adoption of AVs. For example, although...
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Preventing Racial Bias in Federal AI
Type Policy Brief or Report
Year 2020
Level National
State(s) All States
Source Journal on Science Policy & Governance
Policy Areas Public Safety, Data & Technology
While Artificial Intelligence (AI) is often viewed as a neutral technological tool that brings efficiency, objectivity and accuracy, choices on design, implementation and use can embed existing racial inequalities into AI and create racially biased systems that produce harmful consequences....
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