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Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
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- Algorithmic accountability law (1)
- Artificial intelligence (AI) (1)
- Automated decision-making (ADM) tools (1)
- Biometric ID databases (1)
- Citizenship databases (1)
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- Criminal intelligence databases (1)
- Cybersecurity (1)
- Gang databases (1)
- Gangs Matrix (1)
- Government surveillance (1)
- Habitual offender registration (1)
- Homeland Advance Recognition Technology System (HART) (1)
- National Register of Citizens (NRC) (1)
- Predictive policing (1)
- Privacy (1)
- Smart cities (1)
- Smart city data collection (1)
- Suspect Development Systems (SDS) (1)
- Toronto Quayside project (1)
- Welfare benefits allocation algorithm (1)
- Welfare system databases (1)
Articles 1 - 2 of 2
Full-Text Articles in Social and Behavioral Sciences
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 …
Privacy Frameworks For Smart Cities, Lindsey Tonsager, Jayne Ponder
Privacy Frameworks For Smart Cities, Lindsey Tonsager, Jayne Ponder
Journal of Law and Mobility
This paper identifies some of the core privacy considerations raised by smart cities – government surveillance and data security in Part I. Then, Part II proposes a set of core principles for smart cities to consider in the development and deployment of smart cities to address privacy concerns. These principles include: (A) human-centric approaches to smart cities design and implementation, (B) transparency for city residents, (C) privacy by design, (D) anonymization and deidentification, (E) data minimization and purpose specification, (F) trusted data sharing, and (G) cybersecurity resilience.