Call for Abstracts Edited Volume:  Bringing AI to Patient Care: Ethical, Legal, Social and Policy Intersections

Together with the Nordic Per Med Law Network, the WASP-HS AICARE project is inviting contributions for an edited volume 'Bringing AI to Patient Care: Ethical, Legal, Social and Policy Intersections'.

Artificial Intelligence (AI) is profoundly and rapidly reshaping the multiple facets of the healthcare sector, ranging from diagnostics and treatment to hospital management and patient engagement. This development promises to provide a number of improvements, and it is especially welcomed in today’s aging societies, which increasingly need to rely on health and social sectors characterised by resources constraints and ever-increasing costs. Simultaneously, the rising use of AI in delivering patient care raises critical challenges related to privacy, accountability, transparency, and accessibility to name just a few examples. 

This edited volume brings together interdisciplinary perspectives bridging – amongst others – the ethical, technical, social, and clinical dimensions of translating AI into patient care. We welcome contributions that critically analyze emerging applications, frameworks, and implications of AI technologies in medical and health settings. 

We invite both single and co-authored contributions and encourage authors to consider cross- or interdisciplinary methodologies. While the volume is open to diverse perspectives discussing AI in patient care, we particularly encourage contributions engaging with one or more of the following four thematic areas of enquiry: 

1. Ethical dimension that discusses tensions between values caused or amplified by the use of AI in patient care; 

2. Legal dimension that addresses critical perspectives related to the introduction of AI technologies in clinical care while ensuring compliance with recent EU legislation and understanding how technology impacts patient rights; 

3. Social impact dimension that examines the impact of technology in the provision and organisation of clinical care and relationships between patients, their representatives, healthcare providers and healthcare institutions; 

4. Policy and regulation dimension that explores how AI technologies used in clinical care impact public health and health policies in Europe and contextual understanding of links with technical aspects and broader policy objectives. 

Contributions have a word limit of 6000 words (including footnotes). The referencing style adopted is the OSCOLA. 

We invite abstracts in English, which should be no longer than 300 words. Abstracts should be submitted here. 

Timeline 

• Abstract submission: 1 May 2026. 

• Notification of acceptance: 15 May 2026 

• Submission first draft: 1 September 2026 

• Online Workshop to discuss drafts: TBD Mid-September 

• Submission second draft: 30 October 2026 

• Peer-review comments: 30 November 2026 

• Submission final draft: 15 December 2026