Responsible AI in Agile Software Engineering - An Industry Perspective

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

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationAgile Processes in Software Engineering and Extreme Programming – Workshops - XP 2024 Workshops, Revised Selected Papers
EditorsLodovica Marchesi, Maria Ilaria Lunesu, Andrea Pinna, Alfredo Goldman, Adam Przybyłek, Ademar Aguiar, Lorraine Morgan, Xiaofeng Wang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages33-41
Number of pages9
ISBN (Print)9783031727801
DOIs
Publication statusPublished - 2025
EventWorkshops held at the 25th International Conference on Agile Software Development, XP 2024 - Bozen-Bolzano, Italy
Duration: 4 Jun 20247 Jun 2024

Publication series

NameLecture Notes in Business Information Processing
Volume524
ISSN (Print)1865-1348
ISSN (Electronic)1865-1356

Conference

ConferenceWorkshops held at the 25th International Conference on Agile Software Development, XP 2024
Country/TerritoryItaly
CityBozen-Bolzano
Period4/06/247/06/24

Keywords

  • Agile Software Engineering
  • Challenges
  • GenAI
  • Industry Perspective
  • Responsible AI
  • Responsible AI
  • Software Engineering

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