Incorporating FATES Principles in Continuous Development of ML-Integrated Systems: Importance of Requirements

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.