Measuring Acceptance and Human Performance in ARTIMATION
The ARTIMATION project aims to provide Explainability to Artificial Intelligence outcomes through transparent AI models and novel visualisation techniques, following a user-centred approach. The project will validate two different use cases: a Conflict Detection & Resolution decision support, which will provide transparency with a novel interface based on intuitive heat maps and decision-based storytelling, and […]
ARTIMATION’S one year update
Currently, the AI decision making outcome is yet a “Black Box”. Aiming to ensure safe and reliable decision support to the Air Traffic Controllers, the ARTIMATION project is developing algorithms with different visualisation techniques that can provide a transparent and explainable AI model through data-driven storytelling and immersive analytics. In the first year of project […]
ARTIMATION’s workshop – Definition of the Roadmap
During these past months, the ARTIMATION Project has been developing the XAI algorithms to support the ATCOs’ tasks that, according to workshop for task T3.2 – Prioritisation Workshop, would need more the help of XAI: AI optimises utilisation capacity and AI issues instructions. Two different tools will result from this task: a Conflict Detection and Resolution tool […]
