Editors' Introduction to the Special Issue on "Superintelligence". - Ryan Carey; Matthijs Maas; Nell Watson; Roman Yampolskiy (Informatica (Slovenia), 2017)

Incorrigibility in the CIRL Framework. - Ryan Carey (AIES, 2018)

(When) Is Truth-telling Favored in AI Debate? - Vojtech Kovarík; Ryan Carey (SafeAI@AAAI, 2020)

The Incentives that Shape Behaviour. - Ryan Carey; Eric D. Langlois 002; Tom Everitt; Shane Legg (CoRR, 2020)

Agent Incentives: A Causal Perspective. - Tom Everitt; Ryan Carey; Eric D. Langlois 002; Pedro A. Ortega; Shane Legg (AAAI, 2021)

PyCID: A Python Library for Causal Influence Diagrams. - James Fox; Tom Everitt; Ryan Carey; Eric D. Langlois 002; Alessandro Abate; Michael J. Wooldridge (SciPy, 2021)

Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness. - Carolyn Ashurst; Ryan Carey; Silvia Chiappa; Tom Everitt (AAAI, 2022)

Path-Specific Objectives for Safer Agent Incentives. - Sebastian Farquhar; Ryan Carey; Tom Everitt (AAAI, 2022)

A Complete Criterion for Value of Information in Soluble Influence Diagrams. - Chris van Merwijk; Ryan Carey; Tom Everitt (AAAI, 2022)

Too Big to Fail? Active Few-Shot Learning Guided Logic Synthesis. - Animesh Basak Chowdhury; Benjamin Tan 001; Ryan Carey; Tushit Jain; Ramesh Karri; Siddharth Garg (CoRR, 2022)

Human Control: Definitions and Algorithms. - Ryan Carey; Tom Everitt (UAI, 2023)

Bulls-Eye: Active Few-Shot Learning Guided Logic Synthesis. - Animesh Basak Chowdhury; Benjamin Tan 001; Ryan Carey; Tushit Jain; Ramesh Karri; Siddharth Garg (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Reasoning about causality in games. - Lewis Hammond; James Fox; Tom Everitt; Ryan Carey; Alessandro Abate; Michael J. Wooldridge (Artif. Intell., 2023)

Reasoning about Causality in Games (Abstract Reprint). - Lewis Hammond; James Fox; Tom Everitt; Ryan Carey; Alessandro Abate; Michael J. Wooldridge (AAAI, 2024)

DE-HNN: An effective neural model for Circuit Netlist representation. - Zhishang Luo; Truong Son Hy; Puoya Tabaghi; Michaël Defferrard; Elahe Rezaei; Ryan Carey; W. Rhett Davis; Rajeev Jain; Yusu Wang 001 (AISTATS, 2024)

Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits. - Chenhui Deng; Zichao Yue; Cunxi Yu; Gokce Sarar; Ryan Carey; Rajeev Jain; Zhiru Zhang (DAC, 2024)

DE-HNN: An effective neural model for Circuit Netlist representation. - Zhishang Luo; Truong Son Hy; Puoya Tabaghi; Donghyeon Koh; Michaël Defferrard; Elahe Rezaei; Ryan Carey; W. Rhett Davis; Rajeev Jain; Yusu Wang 001 (CoRR, 2024)

Toward a Complete Criterion for Value of Information in Insoluble Decision Problems. - Ryan Carey; Sanghack Lee; Robin J. Evans 002 (Trans. Mach. Learn. Res., 2024)