Algorithmic Public Systems × Policing & Accountability

Concise finding or hypothesis

Both records concern public accountability, but the governed sources do not establish that the cited AI frameworks apply to the cited policing datasets, oversight gaps, or local findings.

Constituent issues

• Algorithmic Public Systems · View matching pairs
• Policing & Accountability · View matching pairs

Why both issues are required

Both records concern public accountability, but the governed sources do not establish that the cited AI frameworks apply to the cited policing datasets, oversight gaps, or local findings.

Supported or proposed interacting mechanism

No sufficiently specific shared mechanism is established beyond broad public-sector accountability and data governance.

Outside-in analysis

No sufficiently specific shared mechanism is established beyond broad public-sector accountability and data governance.

Inside-out analysis

Federal AI risk-management frameworks Use-of-force data completeness Local policing findings and remedies

Tensions and tradeoffs

AI risk management, voluntary reporting coverage, federal oversight, and local policing findings use different systems and units of analysis.

Shared directly affected stakeholder cohorts

• College-Educated and Institutional Liberal Stakeholders · education-professional-and-institutional-role
• Educators and educational staff · work-and-economic-role
• Independent Principal Capital Stewards · capital-philanthropic-and-institutional
• Jewish American Arts and Cultural Stakeholders · jewish-american-civic
• Jewish American Civic Communities · jewish-american-civic
• Jewish American Independent Civic Stakeholders · jewish-american-civic
• Jewish American Liberal Civic Stakeholders · jewish-american-civic
• Jewish American Philanthropic and Institutional Leaders · jewish-american-civic
• Jewish American Stakeholders with Israeli Citizenship Connections · jewish-american-civic
• Legal and Public-Policy Professionals · educational-and-professional
• Liberal Principal Capital Stewards · capital-philanthropic-and-institutional
• Priority Civic Stakeholders — New York City · priority-metropolitan-lenses
• Priority Civic Stakeholders — Silicon Valley · priority-metropolitan-lenses
• Young adults · life-stage

Issue-specific affected stakeholder cohorts

42 governed issue-specific mappings. These are not represented as shared impact.

Institutional stakeholders

No separately governed institutional mapping supplied.

Potential civic stakeholders

Use Ally Finder for modeled recommendations; recommendation is not endorsement, affiliation, or direct impact.

Closeness

D0. Closeness is a separate similarity measure, not intersectionality strength.

Intersectionality adjudication

No strong intersection. Withheld percentages remain unavailable.

Evidence readiness

sourced

Supporting evidence

source-doj-trenton-findings-2024, source-fbi-use-of-force-method-2026, source-fbi-use-of-force-update-2025, source-gao-ai-accountability-framework-2021, source-gao-doj-use-of-force-2022, source-nist-ai-resource-center-2026, source-nist-ai-rmf-1-0, source-omb-m-25-21-federal-ai

Counterevidence and competing explanations

use-review-nist-ai-resource-center-2026, use-review-fbi-use-of-force-method-2026

Falsification conditions

R e v e r s e t h e n e g a t i v e r e s u l t o n l y w i t h d i r e c t r e v i e w e d e v i d e n c e l i n k i n g a s p e c i f i e d a l g o r i t h m i c s y s t e m t o a s p e c i f i e d p o l i c i n g - a c c o u n t a b i l i t y p r o c e s s .

Limitations

No governed source describes a policing algorithm, algorithmic policing outcome, or direct application of the cited AI frameworks to the cited policing records.

Review and publication status

needs_review; not_authorized_as_finding; reviewed 2026-07-11.