Over the past decade, machine learning has demonstrated impressive results, often
surpassing human capabilities in sensing tasks relevant to autonomous flight. Unlike …

This work proposes methodologies for ensuring the trustworthiness of high-risk artificial
intelligence (AI) systems (AIS) to achieve compliance with the European Union's (EU) AI Act …

Software development in the aerospace domain requires adhering to strict, high-quality
standards. While there exist regulatory guidelines for commercial software in this domain …

Deep neural networks (DNNs) are at the forefront of cutting-edge technology, and have
been achieving remarkable performance in a variety of complex tasks. Nevertheless, their …

This report primarily identifies a collection of relevant and necessary evidence for assurance
of machine learnt components (MLCs)—also known as learning-enabled components …

There are significant challenges to Artificial Intelligence (AI) system evaluation and
certification. Traditional means of software assurance practices do not lend themselves to …

The use of Artificial Intelligence (AI) and Machine Learning (ML) in aviation has attracted
attention from regulators. In order to prepare a means of compliance for the certification of …