Machine Learning Application Approval - MLEAP | EASA

https://www.easa.europa.eu/en/research-projects/machine-learning-application-approval 

https://www.youtube.com/watch?v=IHbUl4H-toU

The project deals with the approval of machine learning (ML) technology for systems intended for use in safety-related applications in all domains covered by the EASA Basic Regulation (Regulation (EU) 2018/1139).

Data-driven learning techniques are a major opportunity for the aviation industry but come also with a significant number of challenges with respect to the trustworthiness of ML and deep learning (DL) solutions.

EASA published its Artificial Intelligence Roadmap in February 2020, followed by a first major deliverable, a Concept Paper 'First usable guidance for level 1 machine learning applications' in December 2021. This concept paper lays down the basis of EASA future guidance for ML applications approval thanks to a W-shaped process and identifies a number of areas in which further research is necessary to identify efficient and practicable means of compliance with the defined 'AI trustworthiness' objectives.

MLEAP project is a research project initiated by EASA and funded under the Horizon Europe framework. MLEAP has been tailored to investigate the challenging objectives of the W-shaped process at the core of EASA AI Concept Paper.