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Vol-2916
urn:nbn:de:0074-2916-3
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).
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AISafety 2021
Artificial Intelligence Safety 2021
Proceedings of the Workshop on Artificial Intelligence Safety 2021
co-located with the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI 2021)
Virtual, August, 2021.
Edited by
Huáscar Espinoza *
John McDermid **
Xiaowei Huang ***
Mauricio Castillo-Effen ****
Xin Cynthia Chen *****
José Hernández-Orallo ******
Seán Ó hÉigeartaigh *******
Richard Mallah ********
Gabriel Pedroza *********
* ECSEL JU, Belgium
** University of York, United Kingdom
*** University of Liverpool, United Kingdom
**** Lockheed Martin, USA
***** University of Hong Kong, China
****** Universitat Politècnica de València, Spain
******* University of Cambridge, United Kingdom
******** Future of Life Institute, USA
********* Commissariat à l´Energie Atomique, France
Table of Contents
Trustworthiness of Knowledge-Based AI
Session 2: Robustness of Machine Learning Approaches
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Assessing the Reliability of Deep Learning Classifiers Through Robustness Evaluation and Operational Profiles
Xingyu Zhao,
Wei Huang,
Alec Banks,
Victoria Cox,
David Flynn,
Sven Schewe,
Xiaowei Huang
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Towards Robust Perception Using Topological Invariants
Romie Banerjee,
Feng Liu,
Pei Ke
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Measuring Ensemble Diversity and Its Effects on Model Robustness
Lena Heidemann,
Adrian Schwaiger,
Karsten Roscher
Session 3: Perception and Adversarial Attacks
Session 4: Qualification / Certification of AI-Based Systems
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Towards a Safety Case for Hardware Fault Tolerance in Convolutional Neural
Networks Using Activation Range Supervision
Florian Geissler,
Syed Qutub,
Sayanta Roychowdhury,
Ali Asgari,
Yang Peng,
Akash Dhamasia,
Ralf Graefe,
Karthik Pattabiraman,
Michael Paulitsch
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Artificial Intelligence for Future Skies: On-going Standardization Activities to Build the Next Certification/Approval Framework for Airborne and Ground Aeronautic Products
Christophe Gabreau,
Béatrice Pesquet-Popescu,
Fateh Kaakai,
Baptiste Lefevre
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Using Complementary Risk Acceptance Criteria to Structure Assurance Cases for Safety-Critical AI Components
Michael Klaes,
Rasmus Adler,
Lisa Jöckel,
Janek Groß,
Jan Reich
Poster Papers
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Uncontrollability of Artificial Intelligence
Roman Yampolskiy
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Domain Shifts in Reinforcement Learning: Identifying Disturbances in Environments
Tom Haider,
Felippe Schmoeller Roza,
Dirk Eilers,
Karsten Roscher,
Stephan Günnemann
-
Chess as a Testing Grounds for the Oracle Approach to AI Safety
James Miller,
Roman Yampolskiy,
Olle Häggström,
Stuart Armstrong
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Socio-technical co-Design for Accountable Autonomous Software
Ayan Banerjee,
Imane Lamrani,
Katina Michael,
Diana Bowman,
Sandeep Gupta
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Epistemic Defenses against Scientific and Empirical Adversarial AI Attacks
Nadisha-Marie Aliman,
Leon Kester
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On the Differences between Human and Machine Intelligence
Roman Yampolskiy
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A Mixed Integer Programming Approach for Verifying Properties of Binarized Neural Networks
Christopher Lazarus,
Mykel Kochenderfer
2021-07-20: submitted by Xin Cynthia Chen,
metadata incl. bibliographic data published under Creative Commons CC0
2021-07-28: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073)
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