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

Informacje na temat projektu

TANGO

Identyfikator umowy o grant: 101120763

DOI

10.3030/101120763

Data podpisania przez KE 30 Czerwca 2023

Data rozpoczęcia 1 Października 2023

Data zakończenia 30 Września 2027

Finansowanie w ramach

• Digital, Industry and Space

Koszt całkowity

€ 7 008 798,75

Wkład UE

€ 7 008 798,75

Koordynowany przez

UNIVERSITA DEGLI STUDI DI TRENTO
Italy

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

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.

Publikacje

Conference proceedings (27)

Towards Logically Consistent Language Models via Probabilistic Reasoning

Autorzy: Calanzone, Diego; Teso, Stefano; Vergari, Antonio
Opublikowane w: 2024
Wydawca: 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

Autorzy: Veronica Lachi, Francesco Ferrini, Antonio Longa, Bruno Lepri, Andrea Passerini
Opublikowane w: Proceedings of the GRaM Workshop at ICML 2024, 2024
Wydawca: PMLR

Uncertainty Matters: Stable Conclusions Under Unstable Assessment of Fairness Results

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

Ensemble Counterfactual Explanations forChurn Analysis

Autorzy: Samuele Tonati, Marzio Di Vece, Roberto Pellungrini, Fosca Giannotti
Opublikowane w: Lecture Notes in Computer Science, Discovery Science, 2025
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-78980-9_21

Ensemble Counterfactual Explanations for Churn Analysis

Autorzy: Samuele Tonati, Marzio Di Vece, Roberto Pellungrini, Fosca Giannotti
Opublikowane w: Lecture Notes in Computer Science, Discovery Science, 2025
Wydawca: Springer Nature Switzerland
DOI: 10.1007/978-3-031-78980-9_21

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

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

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

Autorzy: Luca Corbucci, Mikko A. Heikkilä, David Solans Noguero, Anna Monreale, Nicolas Kourtellis
Opublikowane w: Frontiers in Artificial Intelligence and Applications, ECAI 2024, 2024
Wydawca: IOS Press
DOI: 10.3233/FAIA240671

Sheaf Diffusion Goes Nonlinear: Enhancing GNNs with Adaptive Sheaf Laplacians

Autorzy: Olga Zaghen, Antonio Longa, Steve Azzolin, Lev Telyatnikov, Andrea Passerini, Pietro Lio
Opublikowane w: Proceedings of the GRaM Workshop at ICML 2024, 2024
Wydawca: PMLR

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

Autorzy: Marco Bronzini, Carlo Nicolini, Bruno Lepri, Jacopo Staiano, Andrea Passerini
Opublikowane w: Proceedings of COLM, 2024, 2024
Wydawca: openreview.net

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

Autorzy: Steve Azzolin, Antonio Longa, Stefano Teso, Andrea Passerini
Opublikowane w: Proceedings of ICLR, 2025
Wydawca: OpenReview

BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts

Autorzy: Marconato, Emanuele; Bortolotti, Samuele; van Krieken, Emile; Vergari, Antonio; Passerini, Andrea; Teso, Stefano
Opublikowane w: Proceedings of UAI, 2024
Wydawca: Proceedings of UAI, 2024

Epistemic Interaction – Tuning Interfaces to Provide Information for AI Support

Autorzy: Alan Dix, Ben Wilson Matt Roach, Tommaso Turchi, Alessio Malizia
Opublikowane w: SYNERGY 2024 – Designing and Building Hybrid Human-AI Systems 2024, 2024
Wydawca: SYNERGY 2024 – Designing and Building Hybrid Human-AI Systems 2024

One-Shot Clustering for Federated Learning

Autorzy: Maciej Krzysztof Zuziak, Roberto Pellungrini, Salvatore Rinzivillo
Opublikowane w: 2024 IEEE International Conference on Big Data (BigData), 2025
Wydawca: IEEE
DOI: 10.48550/arXiv.2503.04231

One-Shot Clustering for Federated Learning

Autorzy: Maciej Krzysztof Zuziak, Roberto Pellungrini, Salvatore Rinzivillo
Opublikowane w: 2024 IEEE International Conference on Big Data (BigData), 2025
Wydawca: IEEE
DOI: 10.1109/BIGDATA62323.2024.10825763

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

Autorzy: Ben Wilson, Darren Scott, Matt Roach, Emily Nielsen, Berndt Muller
Opublikowane w: SYNERGY 2024 – Designing and Building Hybrid Human-AI Systems 2024, 2024
Wydawca: SYNERGY 2024 – Designing and Building Hybrid Human-AI Systems 2024

Interpretable and Fair Mechanisms for Abstaining Classifiers

Autorzy: Daphne Lenders, Andrea Pugnana, Roberto Pellungrini, Toon Calders, Dino Pedreschi, Fosca Giannotti
Opublikowane w: Lecture Notes in Computer Science, Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Wydawca: 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

Autorzy: Luca Corbucci, Anna Monreale, Roberto Pellungrini
Opublikowane w: Proceedings of the 21st International Conference on Security and Cryptography, 2024
Wydawca: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0012863600003767

Logically Consistent Language Models via Neuro-Symbolic Integration

Autorzy: Diego Calanzone, Stefano Teso, Antonio Vergari
Opublikowane w: International Conference on Learning Representations (ICLR), 2025

Disagreement-based Active Learning for Robustness Against Subpopulation Shifts

Autorzy: Yeat Jeng Ng, Viktoriia Sharmanska, Thomas Kehrenberg, Anastasia Pentina, Novi Quadrianto
Opublikowane w: Proceedings of the HLDM Workshop at ECML 2024, 2024
Wydawca: Proceedings of the HLDM Workshop @ ECML 2024

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

Autorzy: Rami Haffar, Francesca Naretto, David Snchez, Anna Monreale, Josep Domingo-Ferrer
Opublikowane w: 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2024
Wydawca: IEEE
DOI: 10.1109/FUZZ-IEEE60900.2024.10611878

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

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

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

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

Coordination in dynamic interactions by converging on tacitly agreed joint plans

Autorzy: Arthur Le Pargneux, Hossam Zeitoun, Emmanouil Konstantinidis, Nick Chater
Opublikowane w: 2024
Wydawca: Center for Open Science
DOI: 10.31234/osf.io/w2x3f

Interpretable andFair Mechanisms forAbstaining Classifiers

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

A Frank System for Co-Evolutionary Hybrid Decision-Making

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

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

Autorzy: Luca Corbucci, Mikko A. Heikkil, David Solans Noguero, Anna Monreale, Nicolas Kourtellis
Opublikowane w: Frontiers in Artificial Intelligence and Applications, ECAI 2024, 2024
Wydawca: IOS Press
DOI: 10.3233/FAIA240671

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

Autorzy: Fabio Michele Russo, Carlo Metta, Anna Monreale, Salvatore Rinzivillo, Fabio Pinelli
Opublikowane w: Lecture Notes in Computer Science, Discovery Science, 2025
Wydawca: 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

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

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

Autorzy: Ljubiša Bojić; Matteo Cinelli; Dubravko Ćulibrk; Boris Delibašić
Opublikowane w: European Journal of Futures Research, 2024, ISSN 2195-2248
Wydawca: European Journal of Futures Research
DOI: 10.48550/ARXIV.2312.09402

Futures

Autorzy: Bojic, Ljubisa
Opublikowane w: Futures, 2024, ISSN 0016-3287
Wydawca: Elsevier
DOI: 10.1016/J.FUTURES.2024.103383

Fostering effective hybrid human-LLM reasoning and decision making

Autorzy: Passerini, Andrea; Gema, Aryo; Minervini, Pasquale; Sayin, Burcu; Tentori, Katya
Opublikowane w: FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2025, ISSN 2624-8212
Wydawca: Frontiers Media SA
DOI: 10.3389/frai.2024.1464690

NeST: The neuro-symbolic transpiler

Autorzy: Viktor Pfanschilling, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
Opublikowane w: International Journal of Approximate Reasoning, Numer 179, 2025, ISSN 0888-613X
Wydawca: Elsevier BV
DOI: 10.1016/J.IJAR.2025.109369

AI alignment: Assessing the global impact of recommender systems

Autorzy: Ljubisa Bojic
Opublikowane w: Futures, Numer 160, 2024, ISSN 0016-3287
Wydawca: Elsevier BV
DOI: 10.1016/J.FUTURES.2024.103383

Conversational technology and reactions to withheld information

Autorzy: Nikolos Gurney, George Loewenstein, Nick Chater
Opublikowane w: PLOS ONE, Numer 19, 2024, ISSN 1932-6203
Wydawca: Public Library of Science (PLoS)
DOI: 10.1371/journal.pone.0301382

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

Autorzy: Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni
Opublikowane w: IEEE Access, Numer 12, 2024, ISSN 2169-3536
Wydawca: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2024.3464743

Resource-rational contractualism: A triple theory of moral cognition

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

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

Autorzy: Sydney Levine, Max Kleiman-Weiner, Nick Chater, Fiery Cushman, Joshua B. Tenenbaum
Opublikowane w: Cognition, Numer 250, 2024, ISSN 0010-0277
Wydawca: Elsevier BV
DOI: 10.1016/J.COGNITION.2024.105790

Rethinking and Recomputing the Value of Machine Learning Models

Autorzy: Burcu Sayin; Jie Yang; Xinyue Chen; Andrea Passerini; Fabio Casati
Opublikowane w: Crossref, 2024, ISSN 1573-7462
Wydawca: Artificial Intelligence Review
DOI: 10.21203/RS.3.RS-4833578/V1

Generative Model for Decision Trees

Autorzy: Riccardo Guidotti; Anna Monreale; Mattia Setzu; Giulia Volpi
Opublikowane w: Proceedings of the AAAI Conference on Artificial Intelligence, 2024, ISSN 2374-3468
Wydawca: 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

Autorzy: Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni
Opublikowane w: IEEE Access, Numer 12, 2024, ISSN 2169-3536
Wydawca: 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

Autorzy: Andreas Theissler, Francesco Spinnato, Udo Schlegel, Riccardo Guidotti
Opublikowane w: IEEE Access, Numer 10, 2022, ISSN 2169-3536
Wydawca: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2022.3207765

Monographic books (1)

Beyond the Face: Biometrics and Society

Autorzy: Bojan, Perkov; Jelena, Adamović; Duje, Kozomara; Mila, Bajić; Duje, Prkut
Opublikowane w: 2023
Wydawca: SHARE Foundation
DOI: 10.5281/ZENODO.13819768