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Custom Developer GPT for Ethical AI Solutions

Lauren Olson

TL;DR

The paper tackles the gap between business-centric software development and ethical AI governance by proposing a custom GPT that centralizes minoritized ethical perspectives and legal compliance. The approach combines a data-driven ethics corpus with deterministic prompting to reduce bias and ensure alignment with frameworks such as the EU AI Act and GDPR. Key contributions include collecting and annotating ethics data from 2,000 Reddit posts across seven communities, identifying biases and safeguards, and outlining a path to an engineer-facing tool that translates values into development artifacts. The work aims to improve the practical integration of ethics and legal requirements into standard development workflows, enabling more responsible AI solutions.

Abstract

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.

Custom Developer GPT for Ethical AI Solutions

TL;DR

The paper tackles the gap between business-centric software development and ethical AI governance by proposing a custom GPT that centralizes minoritized ethical perspectives and legal compliance. The approach combines a data-driven ethics corpus with deterministic prompting to reduce bias and ensure alignment with frameworks such as the EU AI Act and GDPR. Key contributions include collecting and annotating ethics data from 2,000 Reddit posts across seven communities, identifying biases and safeguards, and outlining a path to an engineer-facing tool that translates values into development artifacts. The work aims to improve the practical integration of ethics and legal requirements into standard development workflows, enabling more responsible AI solutions.

Abstract

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.
Paper Structure (3 sections, 2 figures)

This paper contains 3 sections, 2 figures.

Figures (2)

  • Figure 1: Sample prompt showing developer eliciting women's cyberbullying requirements, non-consensual pornography underlined, full GPT response not shown due to size constraints
  • Figure 2: Sample prompt showing developer finding solution to non-consensual pornography, full GPT response not shown due to size constraints