Custom Developer GPT for Ethical AI Solutions

Fuente: arXiv
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Auteur principal: Olson, Lauren
Format: Preprint
Publié: 2024
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author Olson, Lauren
author_facet Olson, Lauren
contents The main goal of this project is to create a new software artefact: a custom Generative Pre-trained Transformer (GPT) for developers to discuss and solve ethical issues through AI engineering. This conversational agent will provide developers with practical application on (1) how to comply with legal frameworks which regard AI systems (like the EU AI Act~\cite{aiact} and GDPR~\cite{gdpr}) and (2) present alternate ethical perspectives to allow developers to understand and incorporate alternate moral positions. In this paper, we provide motivation for the need of such an agent, detail our idea and demonstrate a use case. The use of such a tool can allow practitioners to engineer AI solutions which meet legal requirements and satisfy diverse ethical perspectives.
format Preprint
id arxiv_https___arxiv_org_abs_2401_11013
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Custom Developer GPT for Ethical AI Solutions
Olson, Lauren
Software Engineering
The main goal of this project is to create a new software artefact: a custom Generative Pre-trained Transformer (GPT) for developers to discuss and solve ethical issues through AI engineering. This conversational agent will provide developers with practical application on (1) how to comply with legal frameworks which regard AI systems (like the EU AI Act~\cite{aiact} and GDPR~\cite{gdpr}) and (2) present alternate ethical perspectives to allow developers to understand and incorporate alternate moral positions. In this paper, we provide motivation for the need of such an agent, detail our idea and demonstrate a use case. The use of such a tool can allow practitioners to engineer AI solutions which meet legal requirements and satisfy diverse ethical perspectives.
title Custom Developer GPT for Ethical AI Solutions
topic Software Engineering
url https://arxiv.org/abs/2401.11013