Publication2025
Forensic linguistics and DBN: Automating the analysis of witness statements and testimonies in AI-driven policing
The record
- Type
- Publication
- Date
- 24 June 2025
- Level
- National
- Journal
- AI Driven Policing and Urban Security in Smart Cities
- Pages
- 171-202
- Published
- 24 June 2025
- DOI
- 10.4018/979-8-3373-0245-4.ch007
- Scopus ID
- 105012570736
- Authors
- 5
- Open access
- No
- Citations
- 1
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
16.3 Promote the rule of law at the national and international levels and ensure equal access to justice for all
Deep belief network application for forensic linguistic analysis of witness statements and testimonies in AI-driven policing systems.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
AI research on neural networks and machine learning applied to criminal justice and law enforcement decision-making.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-4.1 Transparency, accountability and the rule of law
Automated justice system analysis using AI contributes to rule of law, transparency, and institutional accountability improvement.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Forensic linguistics and DBN: Automating the analysis of witness statements and testimonies in AI-driven policing”. Kortex.