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The FATES-MLOps consortium presented Incorporating FATES Principles in Continuous Development of ML-Integrated Systems: Importance of Requirements at the 1st International Workshop on Requirements Engineering for Accountable and Conscious Human-centered AI (REACH’AI), co-located with IEEE RE 2025 in Valencia, Spain.

The paper is the consortium’s first joint position piece since the project was funded on both sides of the Atlantic, and it puts requirements engineering at the centre: you cannot measure or manage fairness, accountability, transparency, ethics and security if nobody ever wrote them down as requirements in the first place.

Abstract

The MLOps movement adopts the DevOps objective of reducing the gap between development and operations teams by integrating data scientist teams and Machine Learning (ML) models. The initial FATES-MLOps project aims to apply and adapt good software engineering practices to enhance both the quality of the ML model construction processes and the software systems produced, particularly with regard to extra-functional properties that will be critical issues: Fairness, Accountability, Transparency, Ethics, and Security (FATES). This paper focuses specifically on the formalization, measurement, and management of these properties throughout the MLOps process.

Reference

Jean-Michel Bruel, Tristan Gouaichault, Olivier Teste, Mireille Blay-Fornarino, Nicolas Lacroix, Frédéric Precioso, and Sébastien Mosser. Incorporating FATES Principles in Continuous Development of ML-Integrated Systems: Importance of Requirements. In 1st International Workshop on Requirements Engineering for Accountable and Conscious Human-centered AI (REACH’AI), co-located with IEEE RE 2025. Valencia, Spain. September 2025. [HAL]

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