Artificial Intelligence, and more specifically machine/deep learning, opens up promising prospects for many areas of aviation. However, it raises the crucial question of the level of confidence that can be placed in these techniques when used in safety-critical applications and their compatibility with strict certification requirements.

In February 2020, the European Union Aviation Safety Agency (EASA) published its roadmap to accompany the deployment of AI in aviation which was followed by a concept paper released in April 2021 providing ‘first usable guidance for Level 1 machine learning applications’. These papers have been published anticipating future EASA guidance and requirements for AI/ML applications.

In this in-person seminar jointly organised by AAIS and the EASA office in Singapore, Guillaume Soudain, EASA AI Programme Manager together with Francois Triboulet, ATM/ANS Expert at EASA, outlined the main elements of the EASA AI roadmap. Their presentation elucidated he key elements of this first guidance and outlined a number of remaining challenges with respect to AI trustworthiness. The speakers also took questions from the audience relating to the development of the AI standards for aviation, AI-based system interaction with human, learning assurances and others.

Held on 19 September at the AAIS premises in Seletar, the seminar saw a full house with the participation of aviation and aerospace professionals from across various sectors. We thank the speakers and participants for a very engaging and insightful session.