Pith. sign in

REVIEW 1 cited by

Ethics Whitepaper: Whitepaper on Ethical Research into Large Language Models

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2410.19812 v1 pith:2VGXFHRB submitted 2024-10-17 cs.CY cs.CL

Eddie L. Ungless , Nikolas Vitsakis , Zeerak Talat , James Garforth , Björn Ross , Arno Onken , Atoosa Kasirzadeh , Alexandra Birch This is my paper · ORCID
classification cs.CYcs.CL
keywords ethicalwhitepaperllmsresearchlanguagelargemodelswork
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

This whitepaper offers an overview of the ethical considerations surrounding research into or with large language models (LLMs). As LLMs become more integrated into widely used applications, their societal impact increases, bringing important ethical questions to the forefront. With a growing body of work examining the ethical development, deployment, and use of LLMs, this whitepaper provides a comprehensive and practical guide to best practices, designed to help those in research and in industry to uphold the highest ethical standards in their work.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. The Only Way is Ethics: A Guide to Ethical Research with Large Language Models

    cs.CL 2024-12 conditional novelty 4.0 of 10

    A practitioner-focused guide that distills existing AI ethics literature into actionable Do's and Don'ts for each stage of LLM research projects.

Pith tools