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20232026
most citedThe BIG Argument for AI Safety Cases

4 citations · 11 across the 11 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.CL2025

Evaluating Metrics for Safety with LLM-as-Judges

Kester Clegg, Richard Hawkins, Ibrahim Habli +1

LLMs (Large Language Models) are increasingly used in text processing pipelines to intelligently respond to a variety of inputs and generation tasks. This raises the possibility of…

cs.CL2025★ 1 cited

WER is Unaware: Assessing How ASR Errors Distort Clinical Understanding in Patient Facing Dialogue

Zachary Ellis, Jared Joselowitz, Yash Deo +7

As Automatic Speech Recognition (ASR) is increasingly deployed in clinical dialogue, standard evaluations still rely heavily on Word Error Rate (WER). This paper challenges that st…

cs.AI2025

Out-of-Distribution Detection for Safety Assurance of AI and Autonomous Systems

Victoria J. Hodge, Colin Paterson, Ibrahim Habli

The operational capabilities and application domains of AI-enabled autonomous systems have expanded significantly in recent years due to advances in robotics and machine learning (…

cs.AI2025

MATRIX: Multi-Agent simulaTion fRamework for safe Interactions and conteXtual clinical conversational evaluation

Ernest Lim, Yajie Vera He, Jared Joselowitz +9

Despite the growing use of large language models (LLMs) in clinical dialogue systems, existing evaluations focus on task completion or fluency, offering little insight into the beh…

eess.IV2025★ 3 cited

Metrics that matter: Evaluating image quality metrics for medical image generation

Yash Deo, Yan Jia, Toni Lassila +5

Evaluating generative models for synthetic medical imaging is crucial yet challenging, especially given the high standards of fidelity, anatomical accuracy, and safety required for…

cs.CY2025★ 4 cited

The BIG Argument for AI Safety Cases

Ibrahim Habli, Richard Hawkins, Colin Paterson +4

We present our Balanced, Integrated and Grounded (BIG) argument for assuring the safety of AI systems. The BIG argument adopts a whole-system approach to constructing a safety case…

cs.AI2025

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

Yan Jia, Harriet Evans, Zoe Porter +5

In this paper we propose an advanced approach to integrating artificial intelligence (AI) into healthcare: autonomous decision support. This approach allows the AI algorithm to act…