CORDIS Project
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MAHALO investigates the balance between machine learning automation that mimics human behavior and that which is understandable to humans. It aims to enhance air traffic control systems by improving operator trust and performance through transparent AI.
MAHALO asks a simple but profound question: in the emerging age of Machine Learning (ML), should we be developing automation that matches human behavior (i.e., conformal), or automation that is understandable to the human (i.e., transparent)?
Further, what tradeoffs exist, in terms of controller trust, acceptance, and performance?
To answer these questions, MAHALO will:• Develop an individually-tuned ML system comprised of layered deep learning and reinforcement models, trained on controller per…
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Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Netherlands, Delft
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
CHPR CENTER FOR HUMAN PERFORMANCE RESEARCH
Netherlands, Voorburg
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
Sweden, Linkoping
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
SWEDISH CIVIL AVIATION ADMINISTRATION
Sweden, Norrkoping
Type: Public body
Activity type: Public bodies (excluding Research Organisations and Secondary or Higher Education Establishments)
SME: No
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