Yan Jia

The Role of Explainability in Assuring Safety of Machine Learning in Healthcare

2022 · 64 Zit. · IEEE Transactions on Emerging Topics in Computing

Clinicians risk becoming “liability sinks” for artificial intelligence

2024 · 30 Zit. · Future Healthcare Journal

Levels of Autonomy and Safety Assurance for AI-Based Clinical Decision Systems

2021 · 11 Zit. · Lecture notes in computer science

Development and translation of human-AI interaction models into working prototypes for clinical decision-making

2024 · 9 Zit. · Designing Interactive Systems Conference

Enhancing the Value of Counterfactual Explanations for Deep Learning

2021 · 6 Zit. · Lecture notes in computer science

Safety of Artificial Intelligence: A Collaborative Model.

2020 · 3 Zit. · International Joint Conference on Artificial Intelligence

Clinicians Risk Becoming "Liability Sinks" for Artificial Intelligence

2023 · 3 Zit.

The Need for the Human-Centred Explanation for ML-based Clinical Decision Support Systems

2023 · 2 Zit.

A deployment safety case for AI-assisted prostate cancer diagnosis

2025 · 2 Zit. · Computers in Biology and Medicine

Clinicians Risk Becoming "Liability Sinks" for Artificial Intelligence

2023 · 1 Zit.

Design Principles for Human-Centred Explainable AI: A Scoping Review

2025 · 0 Zit. · ACM Transactions on Interactive Intelligent Systems

The case for delegated AI autonomy for Human AI teaming in healthcare

2025 · 0 Zit. · ArXiv.org