# Balancing Innovation and Ethics in AI-Driven Software Development

arXiv: https://arxiv.org/abs/2408.10252 · HTML: https://mlsanity.com/paper/2408.10252/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 10 references that are in the map.
- First posted on arXiv 10 Aug 2024.

## Builds on (most cited first, 1 of 1)

- [The Mythos of Model Interpretability](https://mlsanity.com/paper/1606.03490/) (2016)

## Abstract (arXiv)

This paper critically examines the ethical implications of integrating AI tools like GitHub Copilot and ChatGPT into the software development process. It explores issues such as code ownership, bias, accountability, privacy, and the potential impact on the job market. While these AI tools offer significant benefits in terms of productivity and efficiency, they also introduce complex ethical challenges. The paper argues that addressing these challenges is essential to ensuring that AI's integration into software development is both responsible and beneficial to society