Timothy Miller

Formalizing trust in artificial intelligence: Prerequisites, causes and goals of human trust in AI

A Jacovi, A Marasović, T Miller, Y Goldberg

Conference Proceedings  |  2021  |  Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

Combining gaze and AI planning for online human intention recognition

R Singh, T Miller, J Newn, E Velloso, F Vetere, L Sonenberg

Journal article  |  2020  |  Artificial Intelligence

Intention recognition is the process of using behavioural cues, such as deliberative actions, eye gaze, and gestures, to infer an ..

Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review.

Seyedeh Neelufar Payrovnaziri, Zhaoyi Chen, Pablo Rengifo-Moreno, Tim Miller, Jiang Bian, Jonathan H Chen, Xiuwen Liu, Zhe He

Journal article  |  2020  |  Journal of the American Medical Informatics Association

OBJECTIVE: To conduct a systematic scoping review of explainable artificial intelligence (XAI) models that use real-world electron..

Demand-Driven Transparency for Monitoring Intelligent Agents

Mor Vered, Piers Howe, Tim Miller, Liz Sonenberg, Eduardo Velloso

Journal article  |  2020  |  IEEE Transactions on Human-Machine Systems

In autonomous multiagent or multirobotic systems, the ability to quickly and accurately respond to threats and uncertainties is im..

Report on the 2019 International Joint Conferences on Artificial Intelligence Explainable Artificial Intelligence Workshop

Tim Miller, Rosina Weber, Dan Magazzeni

Journal article  |  2020  |  AI Magazine

Inventory routing for defense: Moving supplies in adversarial and partially observable environments

Michelle Blom, Slava Shekh, Don Gossink, Tim Miller, Adrian R Pearce

Journal article  |  2020  |  The Journal of Defense Modeling and Simulation Applications Methodology Technology

A Closer Look at Generalisation in RAVEN

S Spratley, K Ehinger, T Miller

Conference Proceedings  |  2020  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

XAI-Explainable artificial intelligence

David Gunning, Mark Stefik, Jaesik Choi, Timothy Miller, Simone Stumpf, Guang-Zhong Yang

Journal article  |  2019  |  Science Robotics

Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications.

Motivational modelling in software for homelessness: Lessons from an industrial study

R Burrows, A Lopez-Lorca, L Sterling, T Miller, A Mendoza, S Pedell

Conference Proceedings  |  2019  |  2019 IEEE 27th International Requirements Engineering Conference (RE)

Requirements engineering involves the elicitation, representation and communication of diverse stakeholder needs. However, this ca..

Explanation in artificial intelligence: Insights from the social sciences

Tim Miller

Journal article  |  2019  |  Artificial Intelligence

There has been a recent resurgence in the area of explainable artificial intelligence as researchers and practitioners seek to pro..