Vol-2942
urn:nbn:de:0074-2942-9

Copyright © 2021 for the individual papers by the papers' authors. Copyright © 2021 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).

AIofAI 2021
Adverse Impacts and Collateral Effects of Artificial Intelligence Technologies 2021

Proceedings of the 1st Workshop on Adverse Impacts and Collateral Effects of Artificial Intelligence Technologies - AIofAI 2021
co-located with 30th International Conference on Artificial Intelligence (IJCAI 2021)

Montréal, Canada, August 19, 2021.

Edited by

Esma Aïmeur *
Nicolás E. Díaz Ferreyra
Hicham Hage *

* Université de Montréal, Department of Computer Science and Operations Research, Montréal, Canada
** University of Duisburg-Essen, Department of Computer Science and Applied Cognitive Science, Duisburg, Germany
*** Notre Dame University-Louaize, Computer Science Department, Zouk Mosbeh, Lebanon

Table of Contents

Preface
Summary: There were 9 papers submitted for peer-review to this workshop. Out of these, 7 papers were accepted for this volume, 3 as regular papers and 4 as short papers.

Regular Papers

Dataset Reconstruction Attack Against Language Models 1-17
Rrubaa Panchendrarajan, Suman Bhoi
ROBUST: Deep Learning for Malware Detection under Changing Environments 18-30
Adel Abusitta, Talal Halabi, Omar Abdel Wahab
SecuBot, a Teacher in Appearance: How Social Chatbots Can Influence People 31-49
Jordi Saleilles, Esma Aïmeur

Short Papers

Using Mathematically-Grounded Metaphors to Teach AI-Related Cybersecurity 50-56
Bart P. Knijnenburg, Nicole Bannister, Kelly Caine
The Presidential Deepfakes Dataset 57-72
Aruna Sankaranarayanan, Matthew Groh, Rosalind Picard, Andrew Lippman
Mitigating Digital Mindlessness 73-79
Sushmita Khan, Mehtab Iqbal, Nushrat Humaira, Nina Hubig, Bart Knijnenburg
Artificially Intelligent and Inclusive by Design: A Human-Centered Approach to Online Safety 80-86
Daricia Wilkinson

Invited Papers

The Future of AI Ethics and the Role of Neurotechnology 87-96
Sara Berger, Francesca Rossi
Is My Model Biased? Exploring Unintended Bias in Misogyny Detection Tasks 97-111
Daniela Godoy, Antonela Tommasel
Fake News and AI: Fighting Fire with Fire? 112-115
Kimiz Dalkir
What Are You Afraid Of? AI Doesn’t Kill People; People Kill People 116-121
Roger Schank, Ray Bareiss

2021-09-03: submitted by Nicolás E. Díaz Ferreyra, metadata incl. bibliographic data published under Creative Commons CC0
2021-09-07: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|