| Vol-3841 urn:nbn:de:0074-3841-0 Copyright © 2024 for the individual papers by the papers' authors. Copyright © 2024 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# HI-AI 2024
KDD Workshop on Human-Interpretable AI 2024

### Proceedings of the KDD Workshop on Human-Interpretable AI 2024
co-located with 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024)

### Centre de Convencions Internacional de Barcelona, Spain, August 26, 2024.

Edited by

### Gabriele Ciravegna *
Mateo Espinosa Zarlenga **
Pietro Barbiero ***
Zohreh Shams ****
Francesco Giannini *****
Damien Garreau ******
Mateja Jamnik **
Tania Cerquitelli *

* Politecnico di Torino, Torino, IT
** University of Cambridge, Cambridge, UK
*** Università della Svizzera italiana, Lugano, CH
**** Builder.ai, London, UK
***** Scuola Normale Superiore, Pisa, IT
****** Julius-Maximilians-Universität Würzburg, Würzburg, DE

## Table of Contents

- KDD Workshop on Human-Interpretable AI 2024
  Gabriele Ciravegna, Mateo Espiniza Zarlenga, Pietro Barbiero, Francesco Giannini, Zohreh Shams, Damien Garreau, Mateja Jamnik, Tania Cerquitelli.
  Summary: There were 19 papers submitted for peer-review to this workshop. Out of these, 14 papers were accepted and 11 papers were included in this volume.

### Main Track

- Towards Fast Visual Explanations of Local Path Planning with LIME and GAN 1-7
  Amar Halilovic, Senka Krivić
- Using Longitudinal Data for Plausible Counterfactual Explanations 8-17
  Alexander Asemota, Giles Hooker
- Generative Models for Counterfactual Explanations 18-30
  Daniil Kirilenko, Pietro Barbiero, Martin Gjoreski, Mitja Luštrek, Marc Langheinrich
- Logically Explainable Malware Detection 31-42
  Peter Anthony, Francesco Giannini, Michelangelo Diligenti, Marco Gori, Martin Homola, Stefan Balogh, Ján Mojžiš
- MASALA: Model-Agnostic Surrogate Explanations by Locality Adaptation 43-59
  Saif Anwar, Nathan Griffiths, Abhir Bhalerao, Thomas Popham
- GLEAMS: Bridging the Gap Between Local and Global Explanations 60-73
  Giorgio Visani, Vincenzo Stanzione, Damien Garreau
- From Must to May: Enabling Test-Time Feature Imputation and Interventions 74-86
  Evan Rex, Mateo Espinosa Zarlenga, Andrei Margeloiu, Mateja Jamnik
- Evaluating the Reliability of Shapley Value Estimates: An Interval-Based Approach 87-94
  Davide Napolitano, Luca Cagliero
- Enhancing Interpretability in Multivariate Time Series Classification through Dimension and Feature Selection 95-101
  Zed Lee
- Sparse Oblique Decision Trees: A Tool to Understand and Manipulate Neural Net Features 102-116
  Suryabhan Singh Hada, Miguel Á. Carreira-Perpiñán, Arman Zharmagambetov
- Ontology-grounded Automatic Knowledge Graph Construction by LLM under Wikidata schema 117-135
  Xiaohan Feng, Xixin Wu, Helen Meng

2024-09-17: submitted by Pietro Barbiero, metadata incl. bibliographic data published under Creative Commons CC0
2024-11-22: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|