Springer Nature OA
open access
CC BY-NC-ND 4.0
AI Accountability Themes and Lifecycle: Practical Guidance
This chapter examines how AI accountability can be operationalised to support policing. Using the AIPAS AI accountability framework as a pragmatic logic that policing can follow, the chapter argues that AI accountability in policing must be demonstrable across pre-deployment, deployment and post-dep
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- The invisible gap: urban AI security#368937
- The Foundations of AI Accountability in Policing—UK Accountability Arrangements as Example#1159916
- Case Study: AI in Social Systems – Impact and Implementation#709238
- Incorporating Artificial Intelligence into India's Judicial and Law Enforcement Systems#1176658
- PRIVACY-AWARE AI ASSISTANT FOR LEGAL COMPLIANCE (GDPR/CCPA)#1177251
Record · ID 1159913
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive