LLM Company Policies and Policy Implications in Software Organizations

Fuente: arXiv
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Bibliographic Details
Main Authors: Khojah, Ranim, Mohamad, Mazen, Erlenhov, Linda, Neto, Francisco Gomes de Oliveira, Leitner, Philipp
Format: Preprint
Published: 2025
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author Khojah, Ranim
Mohamad, Mazen
Erlenhov, Linda
Neto, Francisco Gomes de Oliveira
Leitner, Philipp
author_facet Khojah, Ranim
Mohamad, Mazen
Erlenhov, Linda
Neto, Francisco Gomes de Oliveira
Leitner, Philipp
contents The risks associated with adopting large language model (LLM) chatbots in software organizations highlight the need for clear policies. We examine how 11 companies create these policies and the factors that influence them, aiming to help managers safely integrate chatbots into development workflows.
format Preprint
id arxiv_https___arxiv_org_abs_2510_06718
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle LLM Company Policies and Policy Implications in Software Organizations
Khojah, Ranim
Mohamad, Mazen
Erlenhov, Linda
Neto, Francisco Gomes de Oliveira
Leitner, Philipp
Software Engineering
Artificial Intelligence
The risks associated with adopting large language model (LLM) chatbots in software organizations highlight the need for clear policies. We examine how 11 companies create these policies and the factors that influence them, aiming to help managers safely integrate chatbots into development workflows.
title LLM Company Policies and Policy Implications in Software Organizations
topic Software Engineering
Artificial Intelligence
url https://arxiv.org/abs/2510.06718