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

Información del proyecto

TANGO

Identificador del acuerdo de subvención: 101120763

DOI

10.3030/101120763

Fecha de la firma de la CE 30 Junio 2023

Fecha de inicio 1 Octubre 2023

Fecha de finalización 30 Septiembre 2027

Financiado con arreglo a

• Digital, Industry and Space

Coste total

€ 7 008 798,75

Aportación de la UE

€ 7 008 798,75

Coordinado por

UNIVERSITA DEGLI STUDI DI TRENTO
Italy

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

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.

Publicaciones

Conference proceedings (34)

A Causal Framework for Evaluating Deferring Systems

Autores: Filippo Palomba, Andrea Pugnana, Jose Manuel Alvarez, Salvatore Ruggieri
Editor: PMLR

Towards Logically Consistent Language Models via Probabilistic Reasoning

Autores: Calanzone, Diego; Teso, Stefano; Vergari, Antonio
Publicado en: 2024
Editor: 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

Autores: Veronica Lachi, Francesco Ferrini, Antonio Longa, Bruno Lepri, Andrea Passerini
Publicado en: Proceedings of the GRaM Workshop at ICML 2024, 2024
Editor: PMLR

Uncertainty Matters: Stable Conclusions Under Unstable Assessment of Fairness Results

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

Learning to Intervene on Concept Bottlenecks

Autores: David Steinmann, Wolfgang Stammer, Felix Friedrich, Kristian Kersting
Publicado en: Proceedings of ICML, 2024
Editor: ICML

Ensemble Counterfactual Explanations for Churn Analysis

Autores: Samuele Tonati, Marzio Di Vece, Roberto Pellungrini, Fosca Giannotti
Publicado en: Lecture Notes in Computer Science, Discovery Science, 2025
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-78980-9_21

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

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

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

Autores: Luca Corbucci, Mikko A. Heikkilä, David Solans Noguero, Anna Monreale, Nicolas Kourtellis
Publicado en: Frontiers in Artificial Intelligence and Applications, ECAI 2024, 2024
Editor: IOS Press
DOI: 10.3233/FAIA240671

Pix2Code: Learning to Compose Neural Visual Concepts as Programs

Autores: Antonia Wüst, Wolfgang Stammer, Quentin Delfosse, Devendra Singh Dhami, Kristian Kersting
Publicado en: Proceedings of UAI, 2024
Editor: UAI

L2loRe: a method for explaining the reject option

Autores: Clara Punzi, Roberto Pellungrini, Fosca Giannotti
Editor: Discovery Science 2024

Systems with Switching Causal Relations: A Meta-Causal Perspective

Autores: Moritz Willig, Tim Tobiasch, Florian Peter Busch, Jonas Seng, Devendra Singh Dhami, Kristian Kersting
Publicado en: Proceedings of ICLR, 2025
Editor: International Conference on Learning Representations (ICLR)

Sheaf Diffusion Goes Nonlinear: Enhancing GNNs with Adaptive Sheaf Laplacians

Autores: Olga Zaghen, Antonio Longa, Steve Azzolin, Lev Telyatnikov, Andrea Passerini, Pietro Lio
Publicado en: Proceedings of the GRaM Workshop at ICML 2024, 2024
Editor: PMLR

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

Autores: Marco Bronzini, Carlo Nicolini, Bruno Lepri, Jacopo Staiano, Andrea Passerini
Publicado en: Proceedings of COLM, 2024, 2024
Editor: openreview.net

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

Autores: Steve Azzolin, Antonio Longa, Stefano Teso, Andrea Passerini
Publicado en: Proceedings of ICLR, 2025
Editor: OpenReview

BEARS Make Neuro-Symbolic Models Aware of their Reasoning Shortcuts

Autores: Marconato, Emanuele; Bortolotti, Samuele; van Krieken, Emile; Vergari, Antonio; Passerini, Andrea; Teso, Stefano
Publicado en: Proceedings of UAI, 2024
Editor: Proceedings of UAI, 2024

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

Autores: Rami Haffar; Francesca Naretto; David Sánchez; Anna Monreale; Josep Domingo-Ferrer
Publicado en: 2024 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
Editor: IEEE
DOI: 10.5281/ZENODO.15310465

Epistemic Interaction – Tuning Interfaces to Provide Information for AI Support

Autores: Alan Dix, Ben Wilson Matt Roach, Tommaso Turchi, Alessio Malizia
Publicado en: SYNERGY 2024 – Designing and Building Hybrid Human-AI Systems 2024, 2024
Editor: SYNERGY 2024 – Designing and Building Hybrid Human-AI Systems 2024

Neural Concept Binder

Autores: Wolfgang Stammer, Antonia Wüst, David Steinmann, Kristian Kersting
Publicado en: Advances in Neural Information Processing, 2024
Editor: NeurIPS

One-Shot Clustering for Federated Learning

Autores: Maciej Krzysztof Zuziak, Roberto Pellungrini, Salvatore Rinzivillo
Publicado en: 2024 IEEE International Conference on Big Data (BigData), 2025
Editor: IEEE
DOI: 10.1109/BIGDATA62323.2024.10825763

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

Autores: Ben Wilson, Darren Scott, Matt Roach, Emily Nielsen, Berndt Muller
Publicado en: SYNERGY 2024 – Designing and Building Hybrid Human-AI Systems 2024, 2024
Editor: SYNERGY 2024 – Designing and Building Hybrid Human-AI Systems 2024

SMOSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks

Autores: Mátyás Vincze, Laura Ferrarotti, Leonardo Lucio Custode, Bruno Lepri, Giovanni Iacca
Publicado en: Proceedings of AAAI 2025
Editor: The Associations for the Advancement of Artificial Intelligence

Interpretable and Fair Mechanisms for Abstaining Classifiers

Autores: Daphne Lenders, Andrea Pugnana, Roberto Pellungrini, Toon Calders, Dino Pedreschi, Fosca Giannotti
Publicado en: Lecture Notes in Computer Science, Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
Editor: 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

Autores: Luca Corbucci, Anna Monreale, Roberto Pellungrini
Publicado en: Proceedings of the 21st International Conference on Security and Cryptography, 2024
Editor: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0012863600003767

Logically Consistent Language Models via Neuro-Symbolic Integration

Autores: Diego Calanzone, Stefano Teso, Antonio Vergari
Publicado en: International Conference on Learning Representations (ICLR), 2025

Disagreement-based Active Learning for Robustness Against Subpopulation Shifts

Autores: Yeat Jeng Ng, Viktoriia Sharmanska, Thomas Kehrenberg, Anastasia Pentina, Novi Quadrianto
Publicado en: Proceedings of the HLDM Workshop at ECML 2024, 2024
Editor: Proceedings of the HLDM Workshop @ ECML 2024

Do LLMs suffer from Multi-Party Hangover? A Diagnostic Approach to Addressee Recognition and Response Selection in Conversations

Autores: Nicolò Penzo, Maryam Sajedinia, Bruno Lepri, Sara Tonelli, and Marco Guerini
Publicado en: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Editor: Association for Computational Linguistics
DOI: 10.18653/V1/2024.EMNLP-MAIN.628

Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?

Autores: Antonia Wüst, Tim Tobiasch, Lukas Helff, Devendra Singh Dhami, Constantin A. Rothkopf, Kristian Kersting
Publicado en: Proceedings of Sys2-Reasoning Workshop @ NeurIPS 2024
Editor: NeurIPS Workshop

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

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

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

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

Coordination in dynamic interactions by converging on tacitly agreed joint plans

Autores: Arthur Le Pargneux, Hossam Zeitoun, Emmanouil Konstantinidis, Nick Chater
Publicado en: 2024
Editor: Center for Open Science
DOI: 10.31234/osf.io/w2x3f

A Frank System for Co-Evolutionary Hybrid Decision-Making

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

Systems with Switching Causal Relations: A Meta-Causal Perspective

Autores: Moritz Willig, Tim Tobiasch, Florian Peter Busch, Jonas Seng, Devendra Singh Dhami, Kristian Kersting
Publicado en: Proceedings of CRL Workshop @ NeurIPS 2024
Editor: NeurIPS Workshop

Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents

Autores: Quentin Delfosse, Sebastian Sztwiertnia, Mark Rothermel, Wolfgang Stammer, Kristian Kersting
Publicado en: Advances in Neural Information Processing, 2024
Editor: NeurIPS

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

Autores: Fabio Michele Russo, Carlo Metta, Anna Monreale, Salvatore Rinzivillo, Fabio Pinelli
Publicado en: Lecture Notes in Computer Science, Discovery Science, 2025
Editor: Springer Nature Switzerland
DOI: 10.1007/978-3-031-78980-9_11

Peer reviewed articles (11)

Explaining the Explainers in Graph Neural Networks: a Comparative Study

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

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

Autores: Ljubiša Bojić; Matteo Cinelli; Dubravko Ćulibrk; Boris Delibašić
Publicado en: European Journal of Futures Research, 2024, ISSN 2195-2248
Editor: European Journal of Futures Research
DOI: 10.48550/ARXIV.2312.09402

Fostering effective hybrid human-LLM reasoning and decision making

Autores: Passerini, Andrea; Gema, Aryo; Minervini, Pasquale; Sayin, Burcu; Tentori, Katya
Publicado en: FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2025, ISSN 2624-8212
Editor: Frontiers Media SA
DOI: 10.3389/frai.2024.1464690

NeST: The neuro-symbolic transpiler

Autores: Viktor Pfanschilling, Hikaru Shindo, Devendra Singh Dhami, Kristian Kersting
Publicado en: International Journal of Approximate Reasoning, Edición 179, 2025, ISSN 0888-613X
Editor: Elsevier BV
DOI: 10.1016/J.IJAR.2025.109369

AI alignment: Assessing the global impact of recommender systems

Autores: Ljubisa Bojic
Publicado en: Futures, Edición 160, 2024, ISSN 0016-3287
Editor: Elsevier BV
DOI: 10.1016/J.FUTURES.2024.103383

Conversational technology and reactions to withheld information

Autores: Nikolos Gurney, George Loewenstein, Nick Chater
Publicado en: PLOS ONE, Edición 19, 2024, ISSN 1932-6203
Editor: Public Library of Science (PLoS)
DOI: 10.1371/journal.pone.0301382

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

Autores: Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni
Publicado en: IEEE Access, Edición 12, 2024, ISSN 2169-3536
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2024.3464743

Resource-rational contractualism: A triple theory of moral cognition

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

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

Autores: Sydney Levine, Max Kleiman-Weiner, Nick Chater, Fiery Cushman, Joshua B. Tenenbaum
Publicado en: Cognition, Edición 250, 2024, ISSN 0010-0277
Editor: Elsevier BV
DOI: 10.1016/J.COGNITION.2024.105790

Rethinking and Recomputing the Value of Machine Learning Models

Autores: Burcu Sayin; Jie Yang; Xinyue Chen; Andrea Passerini; Fabio Casati
Publicado en: Crossref, 2024, ISSN 1573-7462
Editor: Artificial Intelligence Review
DOI: 10.21203/RS.3.RS-4833578/V1

Generative Model for Decision Trees

Autores: Riccardo Guidotti; Anna Monreale; Mattia Setzu; Giulia Volpi
Publicado en: Proceedings of the AAAI Conference on Artificial Intelligence, 2024, ISSN 2374-3468
Editor: Proceedings of the AAAI Conference on Artificial Intelligence
DOI: 10.1609/AAAI.V38I19.30104

Monographic books (1)

Beyond the Face: Biometrics and Society

Autores: Bojan, Perkov; Jelena, Adamović; Duje, Kozomara; Mila, Bajić; Duje, Prkut
Publicado en: 2023
Editor: SHARE Foundation
DOI: 10.5281/ZENODO.13819768