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AISafety 2019                                                                                                                                     Table of Contents


Table of Contents

Invited Talk to the AI Safety Landscape Session

Towards a Framework for Safety Assurance of Autonomous Systems . . . . . . . . . . . . . . . . . . . . . .                                                                1
  John McDermid, Yan Jia and Ibrahim Habli

Session 1: Safe Learning

Learning Modular Safe Policies in the Bandit Setting with Application to Adaptive
Clinical Trials . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .   8
  Hossein Aboutalebi, Doina Precup and Tibor Schuster
Metric Learning for Value Alignment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
 Andrea Loreggia, Nicholas Mattei, Francesca Rossi and Kristen Brent Venable

Session 2: Reinforcement Learning Safety

Penalizing side effects using stepwise relative reachability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
  Victoria Krakovna, Laurent Orseau, Miljan Martic and Shane Legg
Conservative Agency . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
  Alexander Turner, Dylan Hadfield-Menell and Prasad Tadepalli
Detecting Spiky Corruption in Markov Decision Processes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
  Jason Mancuso, Tomasz Kisielewski, David Lindner and Alok Singh
Modeling AGI Safety Frameworks with Causal Influence Diagrams . . . . . . . . . . . . . . . . . . . . . . . 44
 Tom Everitt, Ramana Kumar, Victoria Krakovna and Shane Legg

Session 3: Safe Autonomous Vehicles

On the Susceptibility of Deep Neural Networks to Natural Perturbations . . . . . . . . . . . . . . . . . 51
 Mesut Ozdag, Sunny Raj, Steven L. Fernandes, Alvaro Velasquez, Laura Pullum and
 Sumit Kumar Jha
Managing Uncertainty of AI-based Perception for Autonomous Systems . . . . . . . . . . . . . . . . . . 57
 Maximilian Henne, Adrian Schwaiger and Gereon Weiss
A Framework for Safety Violation Identification and Assessment in Autonomous Driving . 61
  Lukas Heinzmann, Sina Shafaei, Mohd Hafeez Osman, Christoph Segler and Alois Knoll

Session 4: AI Value Alignment, Ethics and Bias

The Glass Box Approach: Verifying Contextual Adherence to Values . . . . . . . . . . . . . . . . . . . . . 68
  Andrea Aler Tubella and Virginia Dignum
Requisite Variety in Ethical Utility Functions for AI Value Alignment . . . . . . . . . . . . . . . . . . . . 75
  Nadisha-Marie Aliman and Leon Kester
Slam the Brakes: Perceptions of Moral Decisions in Driving Dilemmas . . . . . . . . . . . . . . . . . . . . 82
  Holly Wilson and Andreas Theodorou

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AISafety 2019                                                                                                          Table of Contents


Understanding Bias in Datasets using Topological Data Analysis . . . . . . . . . . . . . . . . . . . . . . . . . 91
 Ramya Srinivasan and Ajay Chander

Poster Papers

Computational Strategies for the Trustworthy Pursuit and the Safe Modeling of
Probabilistic Maintenance Commitments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98
  Qi Zhang, Edmund Durfee and Satinder Singh
Categorizing Wireheading in Partially Embedded Agents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 105
  Arushi Majha, Sayan Sarkar and Davide Zagami
Adversarial Exploitation of Policy Imitation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112
 Vahid Behzadan and William Hsu
The Challenge of Imputation in Explainable Artificial Intelligence Models . . . . . . . . . . . . . . . . 119
  Muhammad Ahmad, Carly Eckert and Ankur Teredesai
On the importance of system testing for assuring safety of AI systems . . . . . . . . . . . . . . . . . . . . 123
 Franz Wotawa
Towards Empathic Deep Q-Learning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130
  Bart Bussmann, Jacqueline Heinerman and Joel Lehman
Watermarking of DRL Policies with Sequential Triggers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137
 Vahid Behzadan and William Hsu




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