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Social and Behavioral Sciences Commons™
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- Access to justice (1)
- Algorithmic accountability law (1)
- Artificial intelligence (AI) (1)
- Automated decision-making (ADM) tools (1)
- Biometric ID databases (1)
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- Citizenship databases (1)
- Criminal intelligence databases (1)
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- Gangs Matrix (1)
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- Homeland Advance Recognition Technology System (HART) (1)
- Indigent defendants (1)
- Low-income clients (1)
- National Register of Citizens (NRC) (1)
- Poverty and the law (1)
- Predictive policing (1)
- Rural America (1)
- Suspect Development Systems (SDS) (1)
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- Texas Indigent Defense Commission (TIDC) (1)
- Texas public defense system (1)
- Welfare benefits allocation algorithm (1)
- Welfare system databases (1)
Articles 1 - 2 of 2
Full-Text Articles in Social and Behavioral Sciences
Alone In The Lone Star State: How A Lack Of Centralized Public Defender Offices Fails Rural Indigent Defendants, Aiden Park
University of Michigan Journal of Law Reform
The criminal justice system is stacked against indigent defendants. The disadvantages indigent defendants face are exacerbated when mixed with the unique qualities of rural America.
For instance, rural court-assigned attorneys are often picked through ad hoc systems by the very judges these attorneys must appear in front of, creating a judicial conflict of interest. The financial realities of rural public defense work often force counsel to manage a private practice while also balancing court-appointed cases. To the extent integral resources like investigators or experts are present in rural spaces, they are seldom used. This Note highlights the way Texas organizes …
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 …