| Vol-2659 urn:nbn:de:0074-2659-5 Copyright © 2020 for the individual papers by the papers' authors. Copyright © 2020 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).

# NeHuAI 2020
First International Workshop on New Foundations for Human-Centered AI

### Proceedings of the First International Workshop on New Foundations for Human-Centered AI (NeHuAI)
co-located with 24th European Conference on Artificial Intelligence (ECAI 2020)

### Santiago de Compostella, Spain, September 4, 2020.

Edited by

### Alessandro Saffiotti *
Luciano Serafini **
Paul Lukowicz ***

* Orebro University, AASS Cognitive Robotic Systems Lab, Örebro, Sweden
** Fondazione Bruno Kessler, Data and Knowledge Management, Trento, Italy
*** DFKI, Embedded Intelligence, Kaiserslautern, Germany

## Table of Contents

- Foreword

### Session "AI and humans"

- Bias in machine learning - what is it good for? 3-10
  Thomas Hellström, Virginia Dignum, Suna Bensch
- Personal dynamic memories are necessary to deal with meaning and understanding in human-centric AI 11-16
  Luc Steels

### Session "Explainable AI"

- LionForests: local interpretation of random forests 17-24
  Ioannis Mollas, Nick Bassiliades, Ioannis Vlahavas, Grigorios Tsoumakas
- A new OWLAPI interface for HEX-programs applied to explaining contingencies in production planning 25-31
  Peter Schüller

### Session "Collaborative AI"

- Collaborative-AI: social robots accompanying and approaching people 33-37
  Alberto Sanfeliu, Anais Garrell, Ely Repiso
- On human-AI collaboration in artistic performance 38-43
  Alessandro Saffiotti, Peter Fogel, Peter Knudsen, Luis de Miranda, Oscar Thörn

### Session "Integrative AI"

- Teaching the old dog new tricks: supervised learning with constraints 44-51
  Fabrizio Detassis, Michele Lombardi, Michela Milano
- Injecting domain knowledge in neural networks: a controlled experiment on a constrained problem 52-58
  Mattia Silvestri, Michele Lombardi, Michela Milano

### Short papers

- How to center AI on humans 59-62
  Frank Dignum, Virginia Dignum
- Identifying the "right" level of explanation in a given situation 63-66
  Valérie Beaudoin, Isabelle Bloch David Bounie, Stéphan Clémençon Florence D'alché-Buc, James Eagan, Winston Maxwell, Pavlo Mozharovskyi, Jayneel Parekh
- Opening the software engineering toolbox for the assessment of trustworthy AI 67-70
  Mohit Ahuja, Mohamed-Bachir Belaid, Pierre Bernabe, Mathieu Collet, Arnaud Gotlieb, Chhagan Lal, Dusica Marijan, Sagar Sen, Aizaz Sharif, Helge Spieker
- Inference in relational neural machines 71-74
  Giuseppe Marra, Francesco Giannini, Faggi Lapo, Michelangelo Diligenti, Marco Gori, Marco Maggini
- An agile framework for trustworthy AI 75-78
  Stefan Leijnen, Huib Aldewereld, Rudy van Belkom, Roland Bijvank, Roelant Ossewaarde
- Mediating joint intention with a dialogue management system 79-82
  Michele Persiani, Maitreyee Tewari
- Unsupervised vehicle counting via multiple camera domain adaptation 82-85
  Luca Ciampi, Carlos Santiago, Joao Paulo Costeira, Claudio Gennaro, Giuseppe Amato

2020-08-31: submitted by Alessandro Saffiotti, metadata incl. bibliographic data published under Creative Commons CC0
2020-08-31: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|