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TAPAS investigates the integration of explainable artificial intelligence in air traffic management to enhance trust in automated systems. The project focuses on developing prototypes and conducting experiments to improve decision-making transparency in air traffic operations.
As Artificial Intelligence (AI) becomes an increasing part of our lives in general, individuals are finding that the need to trust these AI based systems is paramount.
Air Traffic Management (ATM) is not an stranger to this: with a system close to, or already at, a saturation level, AI applications are considered a main enabler to reach higher levels of automation.This would mean a fundamental shift in the automation approach when moving from the classical human-machine interaction to a potentia…
CENTRO DE REFERENCIA INVESTIGACION DESARROLLO E INNOVACION ATM, A.I.E.
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Spain, Madrid
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
Spain, Alcobendas Madrid
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
United Kingdom, MANCHESTER
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
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