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20142026
most citedGuidance on the Assurance of Machine Learning in Autonomous Systems (AMLAS)

47 citations · 155 across the 18 of their papers we have counts for

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Showing cs.CYShow all

5 papers · 1 filter

cs.CY2026

Clear, Compelling Arguments: Rethinking the Foundations of Frontier AI Safety Cases

Shaun Feakins, Ibrahim Habli, Phillip Morgan

This paper contributes to the nascent debate around safety cases for frontier AI systems. Safety cases are structured, defensible arguments that a system is acceptably safe to depl…

cs.CY2024

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

John McDermid, Yan Jia, Ibrahim Habli

Traditional safety engineering assesses systems in their context of use, e.g. the operational design domain (road layout, speed limits, weather, etc.) for self-driving vehicles (in…

cs.CY2023★ 8 cited

Ethics in conversation: Building an ethics assurance case for autonomous AI-enabled voice agents in healthcare

Marten H. L. Kaas, Zoe Porter, Ernest Lim +3

The deployment and use of AI systems should be both safe and broadly ethically acceptable. The principles-based ethics assurance argument pattern is one proposal in the AI ethics l…

cs.CY2022★ 39 cited

A Principles-based Ethics Assurance Argument Pattern for AI and Autonomous Systems

Zoe Porter, Ibrahim Habli, John McDermid +1

An assurance case is a structured argument, typically produced by safety engineers, to communicate confidence that a critical or complex system, such as an aircraft, will be accept…

cs.CY2020★ 9 cited

Enhancing Covid-19 Decision-Making by Creating an Assurance Case for Simulation Models

Ibrahim Habli, Rob Alexander, Richard Hawkins +4

Simulation models have been informing the COVID-19 policy-making process. These models, therefore, have significant influence on risk of societal harms. But how clearly are the und…