Project description
Human-centric AI decision support systems
AI possesses the potential to enhance decision-making, mitigate bias and decrease cognitive overload. Nevertheless, instilling trust in the reliability of AI remains essential. The EU-funded TANGO project will forge hybrid decision support systems that harmonise human and machine values and objectives, fortifying Europe’s prominence in human-centric AI. It will formulate a cognitive theory of mutual comprehension and hybrid decision-making, create explainable AIs attuned to cognition, and facilitate a ‘human-in-the-loop’ co-evolution of human decision-making and machine learning models. TANGO is set to execute four impactful use cases: providing support to women during pregnancy and postpartum, aiding surgical teams, assisting loan officers and applicants in credit lending assessments, and guiding public policymakers in devising incentives and distributing funds.
Objective
Artificial Intelligence (AI) holds enormous potential for enhancing human decisions, improving cognitive overload and lowering bias in high-stakes scenarios. Adoption of AI-based support systems in such applications is however minimal, chiefly due to the difficulty of assessing their assumptions, limitations and intentions. In order to realise the promise of AI for individuals, society and economy, people should feel they can trust AIs in terms of reliability, capacity to understand the human’s needs, and guarantees that they are genuinely aiming at helping them. TANGO will develop the theoretical basis and computational framework for hybrid decision support systems (HDSS) in which humans and machines are aligned in terms of values and goals, know their respective strengths, and work together to reach an optimal decision. To this end, TANGO will develop: 1) A cognitive theory of mutual understanding and hybrid decision making, of intuitive vs deliberative approaches to decision making and of how they affect our trust in human and AI teammates. 2) Cognition-aware explainable AIs implementing synergistic human-machine interaction, enabling machines to determine what information a specific decision maker (e.g. layperson vs expert) needs, or does not need, to reach an informed decision. 3) A “Human-in-the-loop” co-evolution of human decision making and machine learning models building on bi-directional, explanation-augmented interlocution. The TANGO framework will be evaluated on four high impact use cases, namely supporting: i) women during pregnancy and postpartum, ii) surgical teams in intraoperative decision making, iii) loan officers and applicants in credit lending decision processes, and iv) public policy makers in designing incentives and allocating funds. Success in these case studies will establish TANGO as the framework of reference for developing a new generation of synergistic AI systems, and will strengthen the leadership of Europe in human-centric AI.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencesbiological sciencesevolutionary biology
- medical and health sciencesclinical medicineobstetricspostnatal care
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Programme(s)
Topic(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
38122 Trento
Italy
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Participants (20)
64289 Darmstadt
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56126 Pisa
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
56126 Pisa
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
00185 Roma
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75006 Paris
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
75794 Paris
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38122 Trento
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A96 PR60 Dublin
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
21101 NOVI SAD
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41250 Goteborg
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69120 Heidelberg
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1000 Bruxelles / Brussel
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48009 Bilbao
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38123 TRENTO
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
10121 Torino
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1040 Bruxelles / Brussel
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
11000 Novi Sad
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11000 Belgrade
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11070 Beograd
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6108 Halle
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Partners (3)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
38100 Trento
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
SA2 8PP Swansea
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
CV4 8UW COVENTRY
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