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

Informations projet

TANGO

N° de convention de subvention: 101120763

DOI

10.3030/101120763

Date de signature de la CE 30 Juin 2023

Date de début 1 Octobre 2023

Date de fin 30 Septembre 2027

Financé au titre de

• Digital, Industry and Space

Coût total

€ 7 008 798,75

Contribution de l’UE

€ 7 008 798,75

Coordonné par

UNIVERSITA DEGLI STUDI DI TRENTO
Italy

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

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

Auteurs: Calanzone, Diego; Teso, Stefano; Vergari, Antonio
Publié dans: 2024
Éditeur: 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

Auteurs: Veronica Lachi, Francesco Ferrini, Antonio Longa, Bruno Lepri, Andrea Passerini
Publié dans: Proceedings of the GRaM Workshop at ICML 2024, 2024
Éditeur: PMLR

Uncertainty Matters: Stable Conclusions Under Unstable Assessment of Fairness Results

Auteurs: Ainhize Barrainkua, Paula Gordaliza, Jose A Lozano, Novi Quadrianto
Publié dans: Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS) 2024, Valencia, Spain. PMLR., 2024
Éditeur: Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS) 2024, Valencia, Spain. PMLR: Volume 238.

Ensemble Counterfactual Explanations forChurn Analysis

Auteurs: Samuele Tonati, Marzio Di Vece, Roberto Pellungrini, Fosca Giannotti
Publié dans: Lecture Notes in Computer Science, Discovery Science, 2025
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-78980-9_21

Ensemble Counterfactual Explanations for Churn Analysis

Auteurs: Samuele Tonati, Marzio Di Vece, Roberto Pellungrini, Fosca Giannotti
Publié dans: Lecture Notes in Computer Science, Discovery Science, 2025
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-78980-9_21

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

Auteurs: Seyedehdelaram Esfahani, Giovanni De Toni, Bruno Lepri, Andrea Passerini, Katya Tentori, Massimo Zancanaro
Publié dans: Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, 2024
Éditeur: ACM
DOI: 10.1145/3627043.3659556

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

Auteurs: Luca Corbucci, Mikko A. Heikkilä, David Solans Noguero, Anna Monreale, Nicolas Kourtellis
Publié dans: Frontiers in Artificial Intelligence and Applications, ECAI 2024, 2024
Éditeur: IOS Press
DOI: 10.3233/FAIA240671

Sheaf Diffusion Goes Nonlinear: Enhancing GNNs with Adaptive Sheaf Laplacians

Auteurs: Olga Zaghen, Antonio Longa, Steve Azzolin, Lev Telyatnikov, Andrea Passerini, Pietro Lio
Publié dans: Proceedings of the GRaM Workshop at ICML 2024, 2024
Éditeur: PMLR

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

Auteurs: Marco Bronzini, Carlo Nicolini, Bruno Lepri, Jacopo Staiano, Andrea Passerini
Publié dans: Proceedings of COLM, 2024, 2024
Éditeur: openreview.net

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

Auteurs: Steve Azzolin, Antonio Longa, Stefano Teso, Andrea Passerini
Publié dans: Proceedings of ICLR, 2025
Éditeur: OpenReview

BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts

Auteurs: Marconato, Emanuele; Bortolotti, Samuele; van Krieken, Emile; Vergari, Antonio; Passerini, Andrea; Teso, Stefano
Publié dans: Proceedings of UAI, 2024
Éditeur: Proceedings of UAI, 2024

Epistemic Interaction – Tuning Interfaces to Provide Information for AI Support

Auteurs: Alan Dix, Ben Wilson Matt Roach, Tommaso Turchi, Alessio Malizia
Publié dans: SYNERGY 2024 – Designing and Building Hybrid Human-AI Systems 2024, 2024
Éditeur: SYNERGY 2024 – Designing and Building Hybrid Human-AI Systems 2024

One-Shot Clustering for Federated Learning

Auteurs: Maciej Krzysztof Zuziak, Roberto Pellungrini, Salvatore Rinzivillo
Publié dans: 2024 IEEE International Conference on Big Data (BigData), 2025
Éditeur: IEEE
DOI: 10.48550/arXiv.2503.04231

One-Shot Clustering for Federated Learning

Auteurs: Maciej Krzysztof Zuziak, Roberto Pellungrini, Salvatore Rinzivillo
Publié dans: 2024 IEEE International Conference on Big Data (BigData), 2025
Éditeur: IEEE
DOI: 10.1109/BIGDATA62323.2024.10825763

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

Auteurs: Ben Wilson, Darren Scott, Matt Roach, Emily Nielsen, Berndt Muller
Publié dans: SYNERGY 2024 – Designing and Building Hybrid Human-AI Systems 2024, 2024
Éditeur: SYNERGY 2024 – Designing and Building Hybrid Human-AI Systems 2024

Interpretable and Fair Mechanisms for Abstaining Classifiers

Auteurs: Daphne Lenders, Andrea Pugnana, Roberto Pellungrini, Toon Calders, Dino Pedreschi, Fosca Giannotti
Publié dans: Lecture Notes in Computer Science, Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Éditeur: 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

Auteurs: Luca Corbucci, Anna Monreale, Roberto Pellungrini
Publié dans: Proceedings of the 21st International Conference on Security and Cryptography, 2024
Éditeur: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0012863600003767

Logically Consistent Language Models via Neuro-Symbolic Integration

Auteurs: Diego Calanzone, Stefano Teso, Antonio Vergari
Publié dans: International Conference on Learning Representations (ICLR), 2025

Disagreement-based Active Learning for Robustness Against Subpopulation Shifts

Auteurs: Yeat Jeng Ng, Viktoriia Sharmanska, Thomas Kehrenberg, Anastasia Pentina, Novi Quadrianto
Publié dans: Proceedings of the HLDM Workshop at ECML 2024, 2024
Éditeur: Proceedings of the HLDM Workshop @ ECML 2024

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

Auteurs: Rami Haffar, Francesca Naretto, David Snchez, Anna Monreale, Josep Domingo-Ferrer
Publié dans: 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2024
Éditeur: IEEE
DOI: 10.1109/FUZZ-IEEE60900.2024.10611878

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

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

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

Auteurs: Burcu Sayin, Pasquale Minervini, Jacopo Staiano, Andrea Passerini
Publié dans: Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024
Éditeur: Association for Computational Linguistics
DOI: 10.18653/v1/2024.clinicalnlp-1.19

Coordination in dynamic interactions by converging on tacitly agreed joint plans

Auteurs: Arthur Le Pargneux, Hossam Zeitoun, Emmanouil Konstantinidis, Nick Chater
Publié dans: 2024
Éditeur: Center for Open Science
DOI: 10.31234/osf.io/w2x3f

Interpretable andFair Mechanisms forAbstaining Classifiers

Auteurs: Daphne Lenders, Andrea Pugnana, Roberto Pellungrini, Toon Calders, Dino Pedreschi, Fosca Giannotti
Publié dans: Lecture Notes in Computer Science, Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Éditeur: Springer Nature Switzerland
DOI: 10.48550/arXiv.2503.18826

A Frank System for Co-Evolutionary Hybrid Decision-Making

Auteurs: Federico Mazzoni, Riccardo Guidotti, Alessio Malizia
Publié dans: Lecture Notes in Computer Science, Advances in Intelligent Data Analysis XXII, 2024
Éditeur: Springer Nature Switzerland
DOI: 10.1007/978-3-031-58553-1_19

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

Auteurs: Luca Corbucci, Mikko A. Heikkil, David Solans Noguero, Anna Monreale, Nicolas Kourtellis
Publié dans: Frontiers in Artificial Intelligence and Applications, ECAI 2024, 2024
Éditeur: IOS Press
DOI: 10.3233/FAIA240671

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

Auteurs: Fabio Michele Russo, Carlo Metta, Anna Monreale, Salvatore Rinzivillo, Fabio Pinelli
Publié dans: Lecture Notes in Computer Science, Discovery Science, 2025
Éditeur: 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

Auteurs: Antonio Longa, Steve Azzolin, Gabriele Santin, Giulia Cencetti, Pietro Lio, Bruno Lepri, Andrea Passerini
Publié dans: ACM Computing Surveys, 2024, ISSN 0360-0300
Éditeur: Association for Computing Machinery (ACM)
DOI: 10.1145/3696444

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

Auteurs: Ljubiša Bojić; Matteo Cinelli; Dubravko Ćulibrk; Boris Delibašić
Publié dans: European Journal of Futures Research, 2024, ISSN 2195-2248
Éditeur: European Journal of Futures Research
DOI: 10.48550/ARXIV.2312.09402

Futures

Auteurs: Bojic, Ljubisa
Publié dans: Futures, 2024, ISSN 0016-3287
Éditeur: Elsevier
DOI: 10.1016/J.FUTURES.2024.103383

Fostering effective hybrid human-LLM reasoning and decision making

Auteurs: Passerini, Andrea; Gema, Aryo; Minervini, Pasquale; Sayin, Burcu; Tentori, Katya
Publié dans: FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2025, ISSN 2624-8212
Éditeur: Frontiers Media SA
DOI: 10.3389/frai.2024.1464690

NeST: The neuro-symbolic transpiler

Auteurs: Viktor Pfanschilling, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
Publié dans: International Journal of Approximate Reasoning, Numéro 179, 2025, ISSN 0888-613X
Éditeur: Elsevier BV
DOI: 10.1016/J.IJAR.2025.109369

AI alignment: Assessing the global impact of recommender systems

Auteurs: Ljubisa Bojic
Publié dans: Futures, Numéro 160, 2024, ISSN 0016-3287
Éditeur: Elsevier BV
DOI: 10.1016/J.FUTURES.2024.103383

Conversational technology and reactions to withheld information

Auteurs: Nikolos Gurney, George Loewenstein, Nick Chater
Publié dans: PLOS ONE, Numéro 19, 2024, ISSN 1932-6203
Éditeur: Public Library of Science (PLoS)
DOI: 10.1371/journal.pone.0301382

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

Auteurs: Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni
Publié dans: IEEE Access, Numéro 12, 2024, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2024.3464743

Resource-rational contractualism: A triple theory of moral cognition

Auteurs: Sydney Levine, Nick Chater, Joshua B. Tenenbaum, Fiery Cushman
Publié dans: Behavioral and Brain Sciences, 2024, ISSN 0140-525X
Éditeur: Cambridge University Press (CUP)
DOI: 10.1017/S0140525X24001067

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

Auteurs: Sydney Levine, Max Kleiman-Weiner, Nick Chater, Fiery Cushman, Joshua B. Tenenbaum
Publié dans: Cognition, Numéro 250, 2024, ISSN 0010-0277
Éditeur: Elsevier BV
DOI: 10.1016/J.COGNITION.2024.105790

Rethinking and Recomputing the Value of Machine Learning Models

Auteurs: Burcu Sayin; Jie Yang; Xinyue Chen; Andrea Passerini; Fabio Casati
Publié dans: Crossref, 2024, ISSN 1573-7462
Éditeur: Artificial Intelligence Review
DOI: 10.21203/RS.3.RS-4833578/V1

Generative Model for Decision Trees

Auteurs: Riccardo Guidotti; Anna Monreale; Mattia Setzu; Giulia Volpi
Publié dans: Proceedings of the AAAI Conference on Artificial Intelligence, 2024, ISSN 2374-3468
Éditeur: 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

Auteurs: Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni
Publié dans: IEEE Access, Numéro 12, 2024, ISSN 2169-3536
Éditeur: 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

Auteurs: Andreas Theissler, Francesco Spinnato, Udo Schlegel, Riccardo Guidotti
Publié dans: IEEE Access, Numéro 10, 2022, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2022.3207765

Monographic books (1)

Beyond the Face: Biometrics and Society

Auteurs: Bojan, Perkov; Jelena, Adamović; Duje, Kozomara; Mila, Bajić; Duje, Prkut
Publié dans: 2023
Éditeur: SHARE Foundation
DOI: 10.5281/ZENODO.13819768