Balancing Innovation and Ethics in AI-Driven Software Development

TL;DR

This paper analyzes the ethical challenges of integrating AI tools like GitHub Copilot and ChatGPT into software development, emphasizing the need for responsible practices to balance innovation with societal impact.

Contribution

It provides a critical examination of ethical issues in AI-driven software development and discusses strategies for responsible integration.

Findings

AI tools improve productivity but raise ethical concerns

Addressing ethical challenges is crucial for responsible AI adoption

The paper highlights the importance of balancing innovation with societal values

Abstract

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