Responsible AI in the Software Industry: A Practitioner-Centered Perspective
December 10, 2024 Β· Declared Dead Β· π 2025 IEEE/ACM International Workshop on Responsible AI Engineering (RAIE)
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Authors
Matheus de Morais LeΓ§a, Mariana Bento, Ronnie de Souza Santos
arXiv ID
2412.07620
Category
cs.SE: Software Engineering
Citations
4
Venue
2025 IEEE/ACM International Workshop on Responsible AI Engineering (RAIE)
Last Checked
4 months ago
Abstract
Responsible AI principles provide ethical guidelines for developing AI systems, yet their practical implementation in software engineering lacks thorough investigation. Therefore, this study explores the practices and challenges faced by software practitioners in aligning with these principles. Through semi-structured interviews with 25 practitioners, we investigated their methods, concerns, and strategies for addressing Responsible AI in software development. Our findings reveal that while practitioners frequently address fairness, inclusiveness, and reliability, principles such as transparency and accountability receive comparatively less attention in their practices. This scenario highlights gaps in current strategies and the need for more comprehensive frameworks to fully operationalize Responsible AI principles in software engineering.
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