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There is a rapid emergence of tools, methods, and guidance for the use of AI across all parts of the software development process, from requirements gathering to code generation to testing and user feedback. However, AI raises many concerns regarding responsible use, and there is a need to understand and develop principles for what responsible software development entails in practice in an agile context, as well as carefully evaluate the incorporation of AI tools and methods in software engineering. We draw on experience from Bespot, Knowit, Schibsted, and Spotify to identify challenges faced by companies pioneering the use of AI in their software development efforts and start charting a roadmap for responsible AI in software engineering.

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Responsible AI in Agile Software Engineering - An Industry Perspective

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Rasmus Ulfsnes,
  • Nils Brede Moe,
  • Jostein Emmerhoff,
  • Marcin Floryan,
  • Anastasia Griva,
  • Jan Henrik Gundelsby,
  • Astri Moksnes Barbala,
  • Kieran Conboy

摘要

There is a rapid emergence of tools, methods, and guidance for the use of AI across all parts of the software development process, from requirements gathering to code generation to testing and user feedback. However, AI raises many concerns regarding responsible use, and there is a need to understand and develop principles for what responsible software development entails in practice in an agile context, as well as carefully evaluate the incorporation of AI tools and methods in software engineering. We draw on experience from Bespot, Knowit, Schibsted, and Spotify to identify challenges faced by companies pioneering the use of AI in their software development efforts and start charting a roadmap for responsible AI in software engineering.