| Vol-3547 urn:nbn:de:0074-3547-1 Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 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).

# ETHAICS 2023
Ethics and Trust in Human-AI Collaboration: Socio-Technical Approaches 2023

### Proceedings of the Workshop on Ethics and Trust in Human-AI Collaboration: Socio-Technical Approaches (ETHAICS 2023)
co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023)
Macao, August 21, 2023.

Edited by

### Marianna Bergamaschi Ganapini *
Andrea Loreggia ****
Nicholas Mattei *****
Francesca Rossi **
Biplav Srivastava ******
Brent Venable *******

* Union College, New York, USA
** IBM Research, Yorktown Heights, USA
**** University of Brescia, Brescia, Italy
***** Tulane University, New Orleans, USA
****** University of South Carolina, Columbia, USA
******* University of South Florida and IHMC, Pensacola, USA

## Table of Contents

- Preface
  Summary: There were 8 papers submitted for peer-review to this workshop. Out of these, 6 papers were accepted for this volume, 6 as regular papers.

### Invited Talks

- Automated Moral Decision Making by Learning from Humans: Why and How (invited paper)
  Vincent Conitzer
- Exploring Human-AI Co-Creativity under Human Control: Framing, Reframing, Brainstorming, and Future Challenges (invited paper)
  Michael Muller

### Accepted Papers

- Challenges in Annotating Datasets to Quantify Bias in Under-represented Society
  Vithya Yogarajan, Gillian Dobbie, Timothy Pistotti, Joshua Bensemann, Kobe Knowles
- "My, my, how can I resist you?" - Examining User Reactions to Bogus Explanations of AI
  Laura Spillner, Rachel Ringe, Robert Porzel, Rainer Malaka
- Towards Theory-based Moral AI: Moral AI with Aggregating Models Based on Normative Ethical Theory
  Masashi Takeshita, Rafal Rzepka, Kenji Araki
- Unacceptable Risks in Human-AI Collaboration: Legal Prohibitions in Light of Cognition, Trust and Harm
  Rostam J. Neuwirth, Sara Migliorini
- Voluminous yet Vacuous? Semantic Capital in an Age of Large Language Models
  Luca Nannini
- Value-based Fast and Slow AI Nudging
  Marianna Bergamaschi Ganapini, Francesco Fabiano, Lior Horesh, Andrea Loreggia, Nicholas Mattei, Keerthiram Murugesan, Vishal Pallagani, Francesca Rossi, Biplav Srivastava, Kristen Brent Venable

2023-11-02: submitted by Andrea Loreggia, metadata incl. bibliographic data published under Creative Commons CC0
2023-11-13: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|