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The deployment and use of AI systems should be both safe and broadlyethically acceptable. The principles-based ethics assurance argument pattern isone proposal in the AI ethics landscape that seeks to support and achieve thataim. The purpose of this argument pattern or framework is to structurereasoning about, and to communicate and foster confidence in, the ethicalacceptability of uses of specific real-world AI systems in complexsocio-technical contexts. This paper presents the interim findings of a casestudy applying this ethics assurance framework to the use of Dora, an AI-basedtelemedicine system, to assess its viability and usefulness as an approach. Thecase study process to date has revealed some of the positive ethical impacts ofthe Dora platform, as well as unexpected insights and areas to prioritise forevaluation, such as risks to the frontline clinician, particularly in respectof clinician autonomy. The ethics assurance argument pattern offers a practicalframework not just for identifying issues to be addressed, but also to start toconstruct solutions in the form of adjustments to the distribution of benefits,risks and constraints on human autonomy that could reduce ethical disparitiesacross affected stakeholders. Though many challenges remain, this researchrepresents a step in the direction towards the development and use of safe andethically acceptable AI systems and, ideally, a shift towards morecomprehensive and inclusive evaluations of AI systems in general.

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