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ORCIDSafeAI@AAAI 2022: Virtual Event
- Gabriel Pedroza, José Hernández-Orallo, Xin Cynthia Chen, Xiaowei Huang, Huáscar Espinoza, Mauricio Castillo-Effen, John A. McDermid, Richard Mallah, Seán Ó hÉigeartaigh:
Proceedings of the Workshop on Artificial Intelligence Safety 2022 (SafeAI 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022), Virtual, February, 2022. CEUR Workshop Proceedings 3087, CEUR-WS.org 2022
Session 1: Bias, Fairness and Value Alignment
- Hal Ashton, Matija Franklin:
The Problem of Behaviour and Preference Manipulation in AI Systems. - Ignacio Serna, Daniel DeAlcala, Aythami Morales Moreno, Julian Fiérrez, Javier Ortega-Garcia:
IFBiD: Inference-Free Bias Detection. - Preston Putzel, Scott Lee:
Blackbox Post-Processing for Multiclass Fairness.
Session 2: Interpretability, Accountability
- Soyeon Jung, Ransalu Senanayake, Mykel J. Kochenderfer:
A Gray Box Model for Characterizing Driver Behavior. - Hal Ashton:
Defining and Identifying the Legal Culpability of Side Effects using Causal Graphs.
Session 3: Robustness and Uncertainty
- Mingjun Ma, Dehui Du, Yuanhao Liu, Yanyun Wang, Yiyang Li:
Efficient Adversarial Sequence Generation for RNN with Symbolic Weighted Finite Automata. - Pascal Gerber, Lisa Jöckel, Michael Kläs:
A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models. - Amany Alshareef, Nicolas Berthier, Sven Schewe, Xiaowei Huang:
Quantifying the Importance of Latent Features in Neural Networks. - Deebul S. Nair, Nico Hochgeschwender, Miguel A. Olivares-Méndez:
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers.
Session 4: Safe Reinforcement Learning
- Jin Woo Ro, Gerald Lüttgen, Diedrich Wolter:
Reinforcement Learning With Imperfect Safety Constraints. - Chloe He, Borja G. León, Francesco Belardinelli:
Do Androids Dream of Electric Fences? Safety-Aware Reinforcement Learning with Latent Shielding. - Zikang Xiong, Ishika Agarwal, Suresh Jagannathan:
HiSaRL: A Hierarchical Framework for Safe Reinforcement Learning. - Mathieu Godbout, Maxime Heuillet, Sharath Chandra Raparthy, Rupali Bhati, Audrey Durand:
A Game-Theoretic Perspective on Risk-Sensitive Reinforcement Learning.
Session 5: A. I. Testing, Assessment
- Adrian Schwaiger, Kristian Schwienbacher, Karsten Roscher:
Beyond Test Accuracy: The Effects of Model Compression on CNNs. - Ann-Katrin Reuel, Mark Koren, Anthony Corso, Mykel J. Kochenderfer:
Using Adaptive Stress Testing to Identify Paths to Ethical Dilemmas in Autonomous Systems.
Poster Papers
- Sheila Alemany, Niki Pissinou:
The Dilemma Between Data Transformations and Adversarial Robustness for Time Series Application Systems. - John Mern, Sidhart Krishnan, Anil Yildiz, Kyle Hatch, Mykel J. Kochenderfer:
Interpretable Local Tree Surrogate Policies. - Peter Barnett, John Burden:
Oases of Cooperation: An Empirical Evaluation of Reinforcement Learning in the Iterated Prisoner's Dilemma. - Fangqi Li, Lei Yang, Shilin Wang, Alan Wee-Chung Liew:
Leveraging Multi-task Learning for Umambiguous and Flexible Deep Neural Network Watermarking. - Prajit T. Rajendran, Huáscar Espinoza, Agnès Delaborde, Chokri Mraidha:
Human-in-the-loop Learning for Safe Exploration through Anomaly Prediction and Intervention. - Leopold Müller, Lars Böcking, Michael Färber:
Safety Aware Reinforcement Learning by Identifying Comprehensible Constraints in Expert Demonstrations. - Juliette Mattioli, Gabriel Pedroza, Souhaiel Khalfaoui, Bertrand Leroy:
Combining Data-Driven and Knowledge-Based AI Paradigms for Engineering AI-Based Safety-Critical Systems. - Poulami Sinhamahapatra, Rajat Koner, Karsten Roscher, Stephan Günnemann:
Is it all a cluster game? - Exploring Out-of-Distribution Detection based on Clustering in the Embedding Space. - Saeed Bakhshi Germi, Esa Rahtu:
A Practical Overview of Safety Concerns and Mitigation Methods for Visual Deep Learning Algorithms. - Michal Filipiuk, Vasu Singh:
Comparing Vision Transformers and Convolutional Nets for Safety Critical Systems.
Special Sessions
- Edoardo Manino, Danilo S. Carvalho, Yi Dong, Julia Rozanova, Xidan Song, Mustafa A. Mustafa, André Freitas, Gavin Brown, Mikel Luján, Xiaowei Huang, Lucas C. Cordeiro:
EnnCore: End-to-End Conceptual Guarding of Neural Architectures. - Bertrand Braunschweig, Rodolphe Gelin, François Terrier:
The wall of safety for AI: approaches in the Confiance.ai program.
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