SEAICYAug 10, 2024

Balancing Innovation and Ethics in AI-Driven Software Development

arXiv:2408.10252v1h-index: 2
Originality Synthesis-oriented
AI Analysis

It highlights ethical problems for software developers and society, but is incremental as it reviews known issues without new solutions.

This paper examines the ethical challenges of integrating AI tools like GitHub Copilot and ChatGPT into software development, arguing that addressing issues such as code ownership and bias is essential for responsible and beneficial AI use.

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

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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