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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
Table of ContentsInvited 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 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 KnollSession 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