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Evidence record 11773 · automatically gathered

The CRAFT principles for the responsible use of large language models in policymaking

Policymakers around the world face the question of how to use artificial intelligence in general, and large language models in particular, to improve the policymaking process. Used well, large language models can strengthen the collection, interpretation and synthesis of policy-relevant information and the drafting of policy-relevant output. Yet the use of large language models in policymaking is associated with risks. Output that is plausible but not necessarily correct, bias resulting from unr

Record details

Published: 17 July 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Regulation
Retrieved: 20 July 2026

source-onlyevidence status

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.

Same publisher byline · Shared topic: Regulation

The CRAFT principles for the responsible use of large language models in policymaking

arXiv cs.CY · 20 July 2026

Shared topic: Bias & fairness · Shared topic: Regulation

AgentFAIR: A Multi-Agent Collaborative Framework for FAIRness Evaluation of Geospatial Datasets

arXiv · 17 July 2026

Shared topic: Bias & fairness · Shared topic: Regulation

Closing the AI Trust Gap: The Case for Independent Certification for Trustworthy AI

arXiv · 17 July 2026

Shared topic: Bias & fairness · Shared topic: Regulation

Auditing Fairness-Privacy Trade-offs: Subpopulation-Level Effects of Fairness-Enhancing Algorithms

arXiv · 16 July 2026

Shared topic: Bias & fairness · Shared topic: Regulation

Financial Audit Assistance using Misinformation Detection and Explanation

arXiv · 20 July 2026

Shared topic: Bias & fairness · Shared topic: Regulation

Programming Language Policy as an AI Literacy Equity Problem: A 15-Nation Comparative Analysis

arXiv cs.CY · 14 July 2026

How to cite this record

ethics.ai (17 July 2026), “The CRAFT principles for the responsible use of large language models in policymaking,” evidence record 11773, https://ethics.ai/record/11773 (originally published by arXiv).

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