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Social and Behavioral Sciences Commons™
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- Discipline
- Keyword
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- Algorithmic accountability law (1)
- Artificial intelligence (AI) (1)
- Automated decision-making (ADM) tools (1)
- Biometric ID databases (1)
- COVID-19 pandemic (1)
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- Citizenship databases (1)
- Criminal intelligence databases (1)
- Economic crisis (1)
- Emergency assistance (1)
- Federal reserve (1)
- Gang databases (1)
- Gangs Matrix (1)
- Government stimulus (1)
- Habitual offender registration (1)
- Homeland Advance Recognition Technology System (HART) (1)
- National Register of Citizens (NRC) (1)
- Predictive policing (1)
- Project SAFE (State Actions in Fiscal Emergencies) (1)
- State and local budget crises (1)
- State borrowing (1)
- State corporate income tax reforms (1)
- State personal income tax and wealth tax reforms (1)
- State sales tax reforms (1)
- Suspect Development Systems (SDS) (1)
- Welfare benefits allocation algorithm (1)
- Welfare system databases (1)
Articles 1 - 2 of 2
Full-Text Articles in Social and Behavioral Sciences
Weathering State And Local Budget Storms: Fiscal Federalism With An Uncooperative Congress, David Gamage, Darien Shanske, Gladriel Shobe, Adam Thimmesch
Weathering State And Local Budget Storms: Fiscal Federalism With An Uncooperative Congress, David Gamage, Darien Shanske, Gladriel Shobe, Adam Thimmesch
University of Michigan Journal of Law Reform
Throughout most of 2020, state and local governments faced severe budget crises as a result of the COVID-19 pandemic. Increased demand for state welfare services and rising state expenses related to controlling the spread of COVID-19 stretched state and local budgets to their breaking points. At the same time, layoffs, business closures, and social distancing measures reduced states’ primary sources of tax revenues. The traditional practice of American fiscal federalism is for the federal government to step in to provide aid during a national emergency of this magnitude, because state and local governments lack the federal government’s monetary and fiscal …
Suspect Development Systems: Databasing Marginality And Enforcing Discipline, Rashida Richardson, Amba Kak
Suspect Development Systems: Databasing Marginality And Enforcing Discipline, Rashida Richardson, Amba Kak
University of Michigan Journal of Law Reform
Algorithmic accountability law—focused on the regulation of data-driven systems like artificial intelligence (AI) or automated decision-making (ADM) tools—is the subject of lively policy debates, heated advocacy, and mainstream media attention. Concerns have moved beyond data protection and individual due process to encompass a broader range of group-level harms such as discrimination and modes of democratic participation. While a welcome and long overdue shift, the current discourse ignores systems like databases, which are viewed as technically “rudimentary” and often siloed from regulatory scrutiny and public attention. Additionally, burgeoning regulatory proposals like algorithmic impact assessments are not structured to surface important –yet …