John McDermid

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

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

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

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

2021 · 3 Zit. · arXiv (Cornell University)

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

2023 · 2 Zit.

The Association for the Advancement of Artificial Intelligence 2020 Workshop Program

2020 · 1 Zit. · AI Magazine

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

Upstream and Downstream AI Safety: Both on the Same River?

2024 · 0 Zit. · arXiv (Cornell University)

International AI Safety Report 2025: Second Key Update: Technical Safeguards and Risk Management

2025 · 0 Zit. · ArXiv.org