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Evidence record 3448 · automatically gathered

Traceable by Design: An LLM Pipeline and Dashboard for EU Regulatory Consultation Analysis

Public consultations generate large volumes of data in the form of stakeholder submissions that are practically unfeasible to analyse manually. We present an end-to-end LLM-based pipeline and interactive dashboard for structured topic extraction from regulatory consultation submissions, demonstrated on the European Commission's Digital Fairness Act (DFA) public call for evidence as a case study. The system processes raw PDF attachments and web-form responses, extracts topic annotations, and grou

Record details

Published: 29 May 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Regulation
Retrieved: 14 July 2026

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These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (29 May 2026), “Traceable by Design: An LLM Pipeline and Dashboard for EU Regulatory Consultation Analysis,” evidence record 3448, https://ethics.ai/record/3448 (originally published by arXiv).

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