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Keeping the humans in the loop: why surrogate human decision-makers remain necessary with personalised patient preference predictors (P4) use
  1. James J Cordeiro1,2,
  2. Marija Kirjanenko3,4
  1. 1University of Oxford, Oxford, UK
  2. 2SUNY Brockport, Brockport, New York, USA
  3. 3Plunkett Centre for Ethics, Australian Catholic University, Darlinghurst, New South Wales, Australia
  4. 4Emergency Department, Eastern Health, Box Hill, Victoria, Australia
  1. Correspondence to Dr Marija Kirjanenko; marija007{at}me.com

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Hypothetical case

Stephan, a middle-aged immigrant, presents with acute sepsis from his diabetic foot ulcer and confusion that significantly diminishes his capacity. His attending physician, Marta, has initiated an aggressive antibiotic regime but is considering amputation. Unsure, whether this aligns with the preferences of Stephan, his family, and his devoted support worker, Emily, she is considering using a P4 AI for substituted judgment using a corpus of Stephan’s emails and online posts.

When diagnosed with diabetes shortly after immigrating seventeen years ago, Stephan railed against the disease’s ravages online, declaiming that he would rather be dead than blind or immobile. Five years ago, anxiety over disturbing trends in online discourse led to his abruptly ceasing all online communication, turning increasingly to Emily as a confidant and guide to advances in vision treatment and prosthetics. And two years ago, Stephan gained significantly new purpose and joy with the birth of his first grandchild Anya.

This case, following Annoni,1 helps illustrate the potential use of P4 artificial intelligence (AI) to advance moral goods in a substituted judgement setting by (1) honouring the patient’s unique identity and past agency and (2) reducing the burdens on human surrogate decision-makers. However, against (2), we argue that decision-making discourse …

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Footnotes

  • Contributors Both authors contributed equally to this paper.

  • Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

  • Competing interests None declared.

  • Provenance and peer review Not commissioned; internally peer reviewed.

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