It takes two to tango: a synergistic approach to human-machine decision making

Project Information

TANGO

Grant agreement ID: 101120763

DOI

10.3030/101120763

EC signature date 30 June 2023

Start date 1 October 2023

End date 30 September 2027

Funded under

• Digital, Industry and Space

Total cost

€ 7 008 798,75

EU contribution

€ 7 008 798,75

Coordinated by

UNIVERSITA DEGLI STUDI DI TRENTO
Italy

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Websites, patent fillings, videos etc. (1)

Brand and comm. channels

Brand and communications channelsestablished and live.

Data Management Plan (2)

First data management plan

(First) Ethical, Gender, Legal, Security Compliance Framework for the data management lifecycle.

Second data management plan

(Second) Ethical, Gender, Legal, Security Compliance Framework for the data management lifecycle

Documents, reports (6)

Cognition-aware explanations for HML

Definition, design and development ofcognitive-aware explanations.

First exploitation strategy

First exploitation strategy and roadmap to market

Cognition-aware explanations for DM

Definition, design and development of theunified explanation-driven HDM process

First communication and dissemination report

Periodic report on C&D activities

Application guidelines

Document with guidelines for theimplementation and coordination of theapplications.

TANGO system specifications

Architectural specifications of the TANGObackend system.

Publications

Conference proceedings (27)

Towards Logically Consistent Language Models via Probabilistic Reasoning

Author(s): Calanzone, Diego; Teso, Stefano; Vergari, Antonio
Published in: 2024
Publisher: ICLR 2024 Workshop on Reliable and Responsible Foundation Models
DOI: 10.48550/ARXIV.2404.12843

A Simple and Expressive Graph Neural Network Based Method for Structural Link Representation

Author(s): Veronica Lachi, Francesco Ferrini, Antonio Longa, Bruno Lepri, Andrea Passerini
Published in: Proceedings of the GRaM Workshop at ICML 2024, 2024
Publisher: PMLR

Uncertainty Matters: Stable Conclusions Under Unstable Assessment of Fairness Results

Author(s): Ainhize Barrainkua, Paula Gordaliza, Jose A Lozano, Novi Quadrianto
Published in: Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS) 2024, Valencia, Spain. PMLR., 2024
Publisher: Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS) 2024, Valencia, Spain. PMLR: Volume 238.

Ensemble Counterfactual Explanations forChurn Analysis

Author(s): Samuele Tonati, Marzio Di Vece, Roberto Pellungrini, Fosca Giannotti
Published in: Lecture Notes in Computer Science, Discovery Science, 2025
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-78980-9_21

Ensemble Counterfactual Explanations for Churn Analysis

Author(s): Samuele Tonati, Marzio Di Vece, Roberto Pellungrini, Fosca Giannotti
Published in: Lecture Notes in Computer Science, Discovery Science, 2025
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-78980-9_21

Preference Elicitation in Interactive and User-centered Algorithmic Recourse: an Initial Exploration

Author(s): Seyedehdelaram Esfahani, Giovanni De Toni, Bruno Lepri, Andrea Passerini, Katya Tentori, Massimo Zancanaro
Published in: Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, 2024
Publisher: ACM
DOI: 10.1145/3627043.3659556

PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning

Author(s): Luca Corbucci, Mikko A. Heikkilä, David Solans Noguero, Anna Monreale, Nicolas Kourtellis
Published in: Frontiers in Artificial Intelligence and Applications, ECAI 2024, 2024
Publisher: IOS Press
DOI: 10.3233/FAIA240671

Sheaf Diffusion Goes Nonlinear: Enhancing GNNs with Adaptive Sheaf Laplacians

Author(s): Olga Zaghen, Antonio Longa, Steve Azzolin, Lev Telyatnikov, Andrea Passerini, Pietro Lio
Published in: Proceedings of the GRaM Workshop at ICML 2024, 2024
Publisher: PMLR

Unveiling LLMs: The Evolution of Latent Representations in a Dynamic Knowledge Graph

Author(s): Marco Bronzini, Carlo Nicolini, Bruno Lepri, Jacopo Staiano, Andrea Passerini
Published in: Proceedings of COLM, 2024, 2024
Publisher: openreview.net

Reconsidering Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs

Author(s): Steve Azzolin, Antonio Longa, Stefano Teso, Andrea Passerini
Published in: Proceedings of ICLR, 2025
Publisher: OpenReview

BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts

Author(s): Marconato, Emanuele; Bortolotti, Samuele; van Krieken, Emile; Vergari, Antonio; Passerini, Andrea; Teso, Stefano
Published in: Proceedings of UAI, 2024
Publisher: Proceedings of UAI, 2024

Epistemic Interaction – Tuning Interfaces to Provide Information for AI Support

Author(s): Alan Dix, Ben Wilson Matt Roach, Tommaso Turchi, Alessio Malizia
Published in: SYNERGY 2024 – Designing and Building Hybrid Human-AI Systems 2024, 2024
Publisher: SYNERGY 2024 – Designing and Building Hybrid Human-AI Systems 2024

One-Shot Clustering for Federated Learning

Author(s): Maciej Krzysztof Zuziak, Roberto Pellungrini, Salvatore Rinzivillo
Published in: 2024 IEEE International Conference on Big Data (BigData), 2025
Publisher: IEEE
DOI: 10.48550/arXiv.2503.04231

One-Shot Clustering for Federated Learning

Author(s): Maciej Krzysztof Zuziak, Roberto Pellungrini, Salvatore Rinzivillo
Published in: 2024 IEEE International Conference on Big Data (BigData), 2025
Publisher: IEEE
DOI: 10.1109/BIGDATA62323.2024.10825763

Designing for situated AI-human decision making: Lessons learned from a primary care deployment

Author(s): Ben Wilson, Darren Scott, Matt Roach, Emily Nielsen, Berndt Muller
Published in: SYNERGY 2024 – Designing and Building Hybrid Human-AI Systems 2024, 2024
Publisher: SYNERGY 2024 – Designing and Building Hybrid Human-AI Systems 2024

Interpretable and Fair Mechanisms for Abstaining Classifiers

Author(s): Daphne Lenders, Andrea Pugnana, Roberto Pellungrini, Toon Calders, Dino Pedreschi, Fosca Giannotti
Published in: Lecture Notes in Computer Science, Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-70368-3_25

Enhancing Privacy and Utility in Federated Learning: A Hybrid P2P and Server-Based Approach with Differential Privacy Protection

Author(s): Luca Corbucci, Anna Monreale, Roberto Pellungrini
Published in: Proceedings of the 21st International Conference on Security and Cryptography, 2024
Publisher: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0012863600003767

Logically Consistent Language Models via Neuro-Symbolic Integration

Author(s): Diego Calanzone, Stefano Teso, Antonio Vergari
Published in: International Conference on Learning Representations (ICLR), 2025

Disagreement-based Active Learning for Robustness Against Subpopulation Shifts

Author(s): Yeat Jeng Ng, Viktoriia Sharmanska, Thomas Kehrenberg, Anastasia Pentina, Novi Quadrianto
Published in: Proceedings of the HLDM Workshop at ECML 2024, 2024
Publisher: Proceedings of the HLDM Workshop @ ECML 2024

GLOR-FLEX: Local to Global Rule-Based EXplanations for Federated Learning

Author(s): Rami Haffar, Francesca Naretto, David Snchez, Anna Monreale, Josep Domingo-Ferrer
Published in: 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2024
Publisher: IEEE
DOI: 10.1109/FUZZ-IEEE60900.2024.10611878

A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts

Author(s): Bortolotti, Samuele; Marconato, Emanuele; Carraro, Tommaso; Morettin, Paolo; van Krieken, Emile; Vergari, Antonio; Teso, Stefano; Passerini, Andrea
Published in: Advances in Neural Information Processing Systems 37 (NeurIPS 2024), 2024
Publisher: Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Can LLMs Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical Domain

Author(s): Burcu Sayin, Pasquale Minervini, Jacopo Staiano, Andrea Passerini
Published in: Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024
Publisher: Association for Computational Linguistics
DOI: 10.18653/v1/2024.clinicalnlp-1.19

Coordination in dynamic interactions by converging on tacitly agreed joint plans

Author(s): Arthur Le Pargneux, Hossam Zeitoun, Emmanouil Konstantinidis, Nick Chater
Published in: 2024
Publisher: Center for Open Science
DOI: 10.31234/osf.io/w2x3f

Interpretable andFair Mechanisms forAbstaining Classifiers

Author(s): Daphne Lenders, Andrea Pugnana, Roberto Pellungrini, Toon Calders, Dino Pedreschi, Fosca Giannotti
Published in: Lecture Notes in Computer Science, Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Publisher: Springer Nature Switzerland
DOI: 10.48550/arXiv.2503.18826

A Frank System for Co-Evolutionary Hybrid Decision-Making

Author(s): Federico Mazzoni, Riccardo Guidotti, Alessio Malizia
Published in: Lecture Notes in Computer Science, Advances in Intelligent Data Analysis XXII, 2024
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-58553-1_19

PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning

Author(s): Luca Corbucci, Mikko A. Heikkil, David Solans Noguero, Anna Monreale, Nicolas Kourtellis
Published in: Frontiers in Artificial Intelligence and Applications, ECAI 2024, 2024
Publisher: IOS Press
DOI: 10.3233/FAIA240671

Explainable AI in Time-Sensitive Scenarios: Prefetched Offline Explanation Model

Author(s): Fabio Michele Russo, Carlo Metta, Anna Monreale, Salvatore Rinzivillo, Fabio Pinelli
Published in: Lecture Notes in Computer Science, Discovery Science, 2025
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-031-78980-9_11

Peer reviewed articles (14)

Explaining the Explainers in Graph Neural Networks: a Comparative Study

Author(s): Antonio Longa, Steve Azzolin, Gabriele Santin, Giulia Cencetti, Pietro Lio, Bruno Lepri, Andrea Passerini
Published in: ACM Computing Surveys, 2024, ISSN 0360-0300
Publisher: Association for Computing Machinery (ACM)
DOI: 10.1145/3696444

CERN for AI: a theoretical framework for autonomous simulation-based artificial intelligence testing and alignment

Author(s): Ljubiša Bojić; Matteo Cinelli; Dubravko Ćulibrk; Boris Delibašić
Published in: European Journal of Futures Research, 2024, ISSN 2195-2248
Publisher: European Journal of Futures Research
DOI: 10.48550/ARXIV.2312.09402

Futures

Author(s): Bojic, Ljubisa
Published in: Futures, 2024, ISSN 0016-3287
Publisher: Elsevier
DOI: 10.1016/J.FUTURES.2024.103383

Fostering effective hybrid human-LLM reasoning and decision making

Author(s): Passerini, Andrea; Gema, Aryo; Minervini, Pasquale; Sayin, Burcu; Tentori, Katya
Published in: FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2025, ISSN 2624-8212
Publisher: Frontiers Media SA
DOI: 10.3389/frai.2024.1464690

NeST: The neuro-symbolic transpiler

Author(s): Viktor Pfanschilling, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
Published in: International Journal of Approximate Reasoning, Issue 179, 2025, ISSN 0888-613X
Publisher: Elsevier BV
DOI: 10.1016/J.IJAR.2025.109369

AI alignment: Assessing the global impact of recommender systems

Author(s): Ljubisa Bojic
Published in: Futures, Issue 160, 2024, ISSN 0016-3287
Publisher: Elsevier BV
DOI: 10.1016/J.FUTURES.2024.103383

Conversational technology and reactions to withheld information

Author(s): Nikolos Gurney, George Loewenstein, Nick Chater
Published in: PLOS ONE, Issue 19, 2024, ISSN 1932-6203
Publisher: Public Library of Science (PLoS)
DOI: 10.1371/journal.pone.0301382

Fast, Interpretable, and Deterministic Time Series Classification With a Bag-of-Receptive-Fields

Author(s): Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni
Published in: IEEE Access, Issue 12, 2024, ISSN 2169-3536
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2024.3464743

Resource-rational contractualism: A triple theory of moral cognition

Author(s): Sydney Levine, Nick Chater, Joshua B. Tenenbaum, Fiery Cushman
Published in: Behavioral and Brain Sciences, 2024, ISSN 0140-525X
Publisher: Cambridge University Press (CUP)
DOI: 10.1017/S0140525X24001067

When rules are over-ruled: Virtual bargaining as a contractualist method of moral judgment

Author(s): Sydney Levine, Max Kleiman-Weiner, Nick Chater, Fiery Cushman, Joshua B. Tenenbaum
Published in: Cognition, Issue 250, 2024, ISSN 0010-0277
Publisher: Elsevier BV
DOI: 10.1016/J.COGNITION.2024.105790

Rethinking and Recomputing the Value of Machine Learning Models

Author(s): Burcu Sayin; Jie Yang; Xinyue Chen; Andrea Passerini; Fabio Casati
Published in: Crossref, 2024, ISSN 1573-7462
Publisher: Artificial Intelligence Review
DOI: 10.21203/RS.3.RS-4833578/V1

Generative Model for Decision Trees

Author(s): Riccardo Guidotti; Anna Monreale; Mattia Setzu; Giulia Volpi
Published in: Proceedings of the AAAI Conference on Artificial Intelligence, 2024, ISSN 2374-3468
Publisher: Proceedings of the AAAI Conference on Artificial Intelligence
DOI: 10.1609/AAAI.V38I19.30104

Fast, Interpretable, and Deterministic Time Series Classification With a Bag-of-Receptive-Fields

Author(s): Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni
Published in: IEEE Access, Issue 12, 2024, ISSN 2169-3536
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2024.3464743

Explainable AI for Time Series Classification: A Review, Taxonomy and Research Directions

Author(s): Andreas Theissler, Francesco Spinnato, Udo Schlegel, Riccardo Guidotti
Published in: IEEE Access, Issue 10, 2022, ISSN 2169-3536
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2022.3207765

Monographic books (1)

Beyond the Face: Biometrics and Society

Author(s): Bojan, Perkov; Jelena, Adamović; Duje, Kozomara; Mila, Bajić; Duje, Prkut
Published in: 2023
Publisher: SHARE Foundation
DOI: 10.5281/ZENODO.13819768