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Message posted on 16/02/2021

4s 2021 Open Panel CfP: 144. Reflective Engagements With Machine Learning In Healthcare

Dear all,

we invite you to submit an abstract to our open panel "Reflective Engagements With Machine Learning In Healthcare" at 4s Annual Meeting 2021, October 6-9 (online/Toronto).

  1. Reflective Engagements With Machine Learning In Healthcare

Developments in machine learning in healthcare led to hopeful expressions regarding tailored care, early risk detection and information integration but come with ethical concerns as well. Solutions are predominantly sought in ethical principles (e.g. 'fair', 'responsible', 'transparent' or 'trustworthy' data analytics), technical fixes (e.g. synthetic data) and regulatory frameworks (e.g. the GDPR). While laudable, this focus also comes with limitations: it ignores the implicit norms, routines and values already present within particular healthcare practices and it may lead to adverse effects, e.g. layering of multiple, conflicting rules that obfuscate healthcare work and increased regulatory pressure that reduces spaces to provide good care.

This panel explores the benefits of a shift in perspective from suitable legal-ethical frameworks and principles for machine learning in healthcare towards an ethnographic approach that studies ethics-in-practice and responsibility-in-the-making, centering on:

1.Responsible knowledge practices: how do machine learning initiatives reconfigure responsible knowledge practices in various healthcare domains? 2.Ethical work in situ: how are ethical decisions made within the mundane work of health practitioners, data scientists and other stakeholders (such as patient groups) in machine learning initiatives? 3.From rules to resilience: how can we make machine learning initiatives in healthcare more resilient? Instead of fixing responsibilities in rules, how can we explore the 'texture' of responsible data-driven healthcare in practice?

In spirit of the conference theme, we particularly welcome studies that find new ways of producing 'good relations', working with medical professionals and data scientists through a mode of reflective engagement.

Keywords: AI, responsibility, ethics, engagement, health

Please note that the deadline for submissions is 8th of March. Information on how to submit and a link to the submission platform can be found at:

Apologies for cross-posting.

Kind regards, Rik Wehrens, Heta Tarkkala & Marthe Stevens

Ps. For further information on the panel, contact

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