Towards the Formalization of a Trustworthy AI for Mining Interpretable Models explOiting Sophisticated Algorithms
Fuente:
arXiv
Saved in:
| Main Authors: | Guidotti, Riccardo, Cinquini, Martina, Manerba, Marta Marchiori, Setzu, Mattia, Spinnato, Francesco |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Causality-Aware Local Interpretable Model-Agnostic Explanations
by: Cinquini, Martina, et al.
Published: (2022)
by: Cinquini, Martina, et al.
Published: (2022)
FairBelief -- Assessing Harmful Beliefs in Language Models
by: Setzu, Mattia, et al.
Published: (2024)
by: Setzu, Mattia, et al.
Published: (2024)
Fair Clustering with Clusterlets
by: Setzu, Mattia, et al.
Published: (2025)
by: Setzu, Mattia, et al.
Published: (2025)
Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery
by: Cinquini, Martina, et al.
Published: (2023)
by: Cinquini, Martina, et al.
Published: (2023)
Interpretable Machine Learning for Oral Lesion Diagnosis through Prototypical Instances Identification
by: Cascione, Alessio, et al.
Published: (2025)
by: Cascione, Alessio, et al.
Published: (2025)
Social Bias Probing: Fairness Benchmarking for Language Models
by: Manerba, Marta Marchiori, et al.
Published: (2023)
by: Manerba, Marta Marchiori, et al.
Published: (2023)
Towards Piece-by-Piece Explanations for Chess Positions with SHAP
by: Spinnato, Francesco
Published: (2025)
by: Spinnato, Francesco
Published: (2025)
The Importance of Time in Causal Algorithmic Recourse
by: Beretta, Isacco, et al.
Published: (2023)
by: Beretta, Isacco, et al.
Published: (2023)
PYRREGULAR: A Unified Framework for Irregular Time Series, with Classification Benchmarks
by: Spinnato, Francesco, et al.
Published: (2025)
by: Spinnato, Francesco, et al.
Published: (2025)
AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems
by: Punzi, Clara, et al.
Published: (2024)
by: Punzi, Clara, et al.
Published: (2024)
Towards Trustworthy Legal AI through LLM Agents and Formal Reasoning
by: Chen, Linze, et al.
Published: (2025)
by: Chen, Linze, et al.
Published: (2025)
OCCAM: Open-set Causal Concept explAnation and Ontology induction for black-box vision Models
by: Russo, Chiara Maria, et al.
Published: (2026)
by: Russo, Chiara Maria, et al.
Published: (2026)
Towards Responsible and Trustworthy Educational Data Mining: Comparing Symbolic, Sub-Symbolic, and Neural-Symbolic AI Methods
by: Hooshyar, Danial, et al.
Published: (2025)
by: Hooshyar, Danial, et al.
Published: (2025)
A Practical Approach to Causal Inference over Time
by: Cinquini, Martina, et al.
Published: (2024)
by: Cinquini, Martina, et al.
Published: (2024)
An Interpretable Data-Driven Unsupervised Approach for the Prevention of Forgotten Items
by: Corbucci, Luca, et al.
Published: (2025)
by: Corbucci, Luca, et al.
Published: (2025)
Evaluating Online Moderation Via LLM-Powered Counterfactual Simulations
by: Fidone, Giacomo, et al.
Published: (2025)
by: Fidone, Giacomo, et al.
Published: (2025)
The Fusion of Large Language Models and Formal Methods for Trustworthy AI Agents: A Roadmap
by: Zhang, Yedi, et al.
Published: (2024)
by: Zhang, Yedi, et al.
Published: (2024)
Intelligent Knowledge Mining Framework: Bridging AI Analysis and Trustworthy Preservation
by: Vu, Binh
Published: (2025)
by: Vu, Binh
Published: (2025)
AI Testing Should Account for Sophisticated Strategic Behaviour
by: Kovarik, Vojtech, et al.
Published: (2025)
by: Kovarik, Vojtech, et al.
Published: (2025)
A Frank System for Co-Evolutionary Hybrid Decision-Making
by: Mazzoni, Federico, et al.
Published: (2025)
by: Mazzoni, Federico, et al.
Published: (2025)
Achieving Trustworthy Real-Time Decision Support Systems with Low-Latency Interpretable AI Models
by: Deng, Zechun, et al.
Published: (2025)
by: Deng, Zechun, et al.
Published: (2025)
Towards Responsible AI Music: an Investigation of Trustworthy Features for Creative Systems
by: de Berardinis, Jacopo, et al.
Published: (2025)
by: de Berardinis, Jacopo, et al.
Published: (2025)
Towards Trustworthy and Explainable AI for Perception Models: From Concept to Prototype Vehicle Deployment
by: Beemelmanns, Till, et al.
Published: (2026)
by: Beemelmanns, Till, et al.
Published: (2026)
Towards Trustworthy AI: A Review of Ethical and Robust Large Language Models
by: Ferdaus, Md Meftahul, et al.
Published: (2024)
by: Ferdaus, Md Meftahul, et al.
Published: (2024)
Bridging the Gap in Hybrid Decision-Making Systems
by: Mazzoni, Federico, et al.
Published: (2024)
by: Mazzoni, Federico, et al.
Published: (2024)
From MIDI to Rich Tablatures: an Automatic Generative System incorporating Lead Guitarists' Fingering and Stylistic choices
by: Bontempi, Pierluigi, et al.
Published: (2024)
by: Bontempi, Pierluigi, et al.
Published: (2024)
An Explainable Failure Prediction Framework for Neural Networks in Radio Access Networks
by: Papry, Khaleda, et al.
Published: (2026)
by: Papry, Khaleda, et al.
Published: (2026)
AI Arms and Influence: Frontier Models Exhibit Sophisticated Reasoning in Simulated Nuclear Crises
by: Payne, Kenneth
Published: (2026)
by: Payne, Kenneth
Published: (2026)
Trustworthy AI: Securing Sensitive Data in Large Language Models
by: Feretzakis, Georgios, et al.
Published: (2024)
by: Feretzakis, Georgios, et al.
Published: (2024)
Position: Multi-Agent Algorithmic Care Systems Demand Contestability for Trustworthy AI
by: Nguyen, Truong Thanh Hung, et al.
Published: (2026)
by: Nguyen, Truong Thanh Hung, et al.
Published: (2026)
Enhancing Large Language Model Efficiencyvia Symbolic Compression: A Formal Approach Towards Interpretability
by: AI, Lumen, et al.
Published: (2025)
by: AI, Lumen, et al.
Published: (2025)
Green Shielding: A User-Centric Approach Towards Trustworthy AI
by: Li, Aaron J., et al.
Published: (2026)
by: Li, Aaron J., et al.
Published: (2026)
Toward Safe and Responsible AI Agents: A Three-Pillar Model for Transparency, Accountability, and Trustworthiness
by: Cheng, Edward C., et al.
Published: (2026)
by: Cheng, Edward C., et al.
Published: (2026)
Towards More Trustworthy and Interpretable LLMs for Code through Syntax-Grounded Explanations
by: Palacio, David N., et al.
Published: (2024)
by: Palacio, David N., et al.
Published: (2024)
The Hidden Cost of Contextual Sycophancy: an AI Literacy Intervention in Human-AI Collaboration
by: Koyuturk, Cansu, et al.
Published: (2026)
by: Koyuturk, Cansu, et al.
Published: (2026)
Mining Frequent Structures in Conceptual Models
by: Fumagalli, Mattia, et al.
Published: (2024)
by: Fumagalli, Mattia, et al.
Published: (2024)
Towards a Categorical Foundation of Deep Learning: A Survey
by: Crescenzi, Francesco Riccardo
Published: (2024)
by: Crescenzi, Francesco Riccardo
Published: (2024)
A Sophisticated Framework for the Accurate Detection of Phishing Websites
by: Newaz, Asif, et al.
Published: (2024)
by: Newaz, Asif, et al.
Published: (2024)
Bridging Ethical Principles and Algorithmic Methods: An Alternative Approach for Assessing Trustworthiness in AI Systems
by: Papademas, Michael, et al.
Published: (2025)
by: Papademas, Michael, et al.
Published: (2025)
Faithful and Stable Neuron Explanations for Trustworthy Mechanistic Interpretability
by: Yan, Ge, et al.
Published: (2025)
by: Yan, Ge, et al.
Published: (2025)
Similar Items
-
Causality-Aware Local Interpretable Model-Agnostic Explanations
by: Cinquini, Martina, et al.
Published: (2022) -
FairBelief -- Assessing Harmful Beliefs in Language Models
by: Setzu, Mattia, et al.
Published: (2024) -
Fair Clustering with Clusterlets
by: Setzu, Mattia, et al.
Published: (2025) -
Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery
by: Cinquini, Martina, et al.
Published: (2023) -
Interpretable Machine Learning for Oral Lesion Diagnosis through Prototypical Instances Identification
by: Cascione, Alessio, et al.
Published: (2025)