Exploring AI Safety in Degrees: Generality, Capability and Control. - John Burden; José Hernández-Orallo (SafeAI@AAAI, 2020)

Uniform State Abstraction for Reinforcement Learning. - John Burden; Daniel Kudenko (ECAI, 2020)

Safe Reinforcement Learning for Sepsis Treatment. - Yan Jia 008; John Burden; Tom Lawton; Ibrahim Habli (ICHI, 2020)

Automating abstraction for potential-based reward shaping. - John Burden (2020)

Negative Side Effects and AI Agent Indicators: Experiments in SafeLife. - John Burden; José Hernández-Orallo; Seán Ó hÉigeartaigh (SafeAI@AAAI, 2021)

Safety-driven design of machine learning for sepsis treatment. - Yan Jia 008; Tom Lawton; John Burden; John A. McDermid; Ibrahim Habli (J. Biomed. Informatics, 2021)

Oases of Cooperation: An Empirical Evaluation of Reinforcement Learning in the Iterated Prisoner's Dilemma. - Peter Barnett; John Burden (SafeAI@AAAI, 2022)

How General-Purpose Is a Language Model? Usefulness and Safety with Human Prompters in the Wild. - Pablo Antonio Moreno Casares; Bao Sheng Loe; John Burden; Seán Ó hÉigeartaigh; José Hernández-Orallo (AAAI, 2022)

Not a Number: Identifying Instance Features for Capability-Oriented Evaluation. - Ryan Burnell; John Burden; Danaja Rutar; Konstantinos Voudouris; Lucy Cheke; José Hernández-Orallo (IJCAI, 2022)

Evaluating Object Permanence in Embodied Agents using the Animal-AI Environment. - Konstantinos Voudouris; Niall Donnelly; Danaja Rutar; Ryan Burnell; John Burden; José Hernández-Orallo; Lucy Cheke (EBeM@IJCAI, 2022)

Harms from Increasingly Agentic Algorithmic Systems. - Alan Chan; Rebecca Salganik; Alva Markelius; Chris Pang; Nitarshan Rajkumar; Dmitrii Krasheninnikov; Lauro Langosco; Zhonghao He; Yawen Duan; Micah Carroll; Michelle P. Lin; Alex Mayhew; et al. (FAccT, 2023)

Inferring Capabilities from Task Performance with Bayesian Triangulation. - John Burden; Konstantinos Voudouris; Ryan Burnell; Danaja Rutar; Lucy Cheke; José Hernández-Orallo (CoRR, 2023)

Predictable Artificial Intelligence. - Lexin Zhou; Pablo Antonio Moreno Casares; Fernando Martínez-Plumed; John Burden; Ryan Burnell; Lucy Cheke; Cèsar Ferri; Alexandru Marcoci; Behzad Mehrbakhsh; Yael Moros-Daval; Seán Ó hÉigeartaigh; Danaja Rutar; et al. (CoRR, 2023)

An International Consortium for Evaluations of Societal-Scale Risks from Advanced AI. - Ross Gruetzemacher; Alan Chan; Kevin Frazier; Christy Manning; Stepán Los; James Fox; José Hernández-Orallo; John Burden; Matija Franklin; Clíodhna Ní Ghuidhir; Mark M. Bailey; Daniel Eth; et al. (CoRR, 2023)

Animal-AI 3: What's New & Why You Should Care. - Konstantinos Voudouris; Ibrahim Alhas; Wout Schellaert; Matthew Crosby; Joel Holmes; John Burden; Niharika Chaubey; Niall Donnelly; Matishalin Patel; Marta Halina; José Hernández-Orallo; Lucy G. Cheke (CoRR, 2023)

Your Prompt is My Command: On Assessing the Human-Centred Generality of Multimodal Models. - Wout Schellaert; Fernando Martínez-Plumed; Karina Vold; John Burden; Pablo A. M. Casares; Bao Sheng Loe; Roi Reichart; Seán Ó hÉigeartaigh; Anna Korhonen; José Hernández-Orallo (J. Artif. Intell. Res., 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Your Prompt Is My Command: On Assessing the Human-Centred Generality of Multimodal Models (Abstract Reprint). - Wout Schellaert; Fernando Martínez-Plumed; Karina Vold; John Burden; Pablo A. M. Casares; Bao Sheng Loe; Roi Reichart; Seán Ó hÉigeartaigh; Anna Korhonen; José Hernández-Orallo (AAAI, 2024)

Evaluating AI Evaluation: Perils and Prospects. - John Burden (CoRR, 2024)

Conversational Complexity for Assessing Risk in Large Language Models. - John Burden; Manuel Cebrián; José Hernández-Orallo (CoRR, 2024)

Paradigms of AI Evaluation: Mapping Goals, Methodologies and Culture. - John Burden; Marko Tesic; Lorenzo Pacchiardi; José Hernández-Orallo (CoRR, 2025)

Framing the Game: How Context Shapes LLM Decision-Making. - Isaac Robinson; John Burden (CoRR, 2025)

General Scales Unlock AI Evaluation with Explanatory and Predictive Power. - Lexin Zhou; Lorenzo Pacchiardi; Fernando Martínez-Plumed; Katherine M. Collins; Yael Moros-Daval; Seraphina Zhang; Qinlin Zhao; Yitian Huang; Luning Sun; Jonathan E. Prunty; Zongqian Li; Pablo Sánchez-García; et al. (CoRR, 2025)

Formalising Human-in-the-Loop: Computational Reductions, Failure Modes, and Legal-Moral Responsibility. - Maurice Chiodo; Dennis Müller 007; Paul Siewert; Jean-Luc Wetherall; Zoya Yasmine; John Burden (CoRR, 2025)