activity
20182023
most citedLocal Rule-Based Explanations of Black Box Decision Systems

191 citations · 390 across the 6 of their papers we have counts for

collaborators

7 papers

cs.SE2023★ 2 cited

An Exploration of Learning Processes as Process Maps in FLOSS Repositories

Patrick Mukala, Antonio Cerone, Franco Turini

Evidence suggests that Free/Libre Open Source Software (FLOSS) environments provide unlimited learning opportunities. Community members engage in a number of activities both during…

cs.AI2023

Reason to explain: Interactive contrastive explanations (REASONX)

Laura State, Salvatore Ruggieri, Franco Turini

Many high-performing machine learning models are not interpretable. As they are increasingly used in decision scenarios that can critically affect individuals, it is necessary to d…

cs.LG2021★ 140 cited

GLocalX -- From Local to Global Explanations of Black Box AI Models

Mattia Setzu, Riccardo Guidotti, Anna Monreale +3

Artificial Intelligence (AI) has come to prominence as one of the major components of our society, with applications in most aspects of our lives. In this field, complex and highly…

cs.CY2020★ 22 cited

Bias in Data-driven AI Systems -- An Introductory Survey

Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju +20

AI-based systems are widely employed nowadays to make decisions that have far-reaching impacts on individuals and society. Their decisions might affect everyone, everywhere and any…

cs.AI2018★ 35 cited

Open the Black Box Data-Driven Explanation of Black Box Decision Systems

Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti +4

Black box systems for automated decision making, often based on machine learning over (big) data, map a user's features into a class or a score without exposing the reasons why. Th…

cs.AI2018★ 191 cited

Local Rule-Based Explanations of Black Box Decision Systems

Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri +3

The recent years have witnessed the rise of accurate but obscure decision systems which hide the logic of their internal decision processes to the users. The lack of explanations f…

cs.CY2018

A Survey Of Methods For Explaining Black Box Models

Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri +3

In the last years many accurate decision support systems have been constructed as black boxes, that is as systems that hide their internal logic to the user. This lack of explanati…