\'Etica para LLMs: o compartilhamento de dados sociolingu\'isticos

TL;DR

This paper discusses the ethical issues in collecting and sharing sociolinguistic speech data for large language models, emphasizing data sensitivity and privacy concerns.

Contribution

It highlights ethical considerations and proposes strategies to handle sensitive sociolinguistic data in the context of LLM development.

Findings

Identifies ethical challenges in sociolinguistic data collection

Proposes strategies for privacy preservation in data sharing

Emphasizes importance of data quality and representativeness

Abstract

The collection of speech data carried out in Sociolinguistics has the potential to enhance large language models due to its quality and representativeness. In this paper, we examine the ethical considerations associated with the gathering and dissemination of such data. Additionally, we outline strategies for addressing the sensitivity of speech data, as it may facilitate the identification of informants who contributed with their speech.