Literature DB >> 33362363

AI-based healthcare: a new dawn or apartheid revisited?

Alice Parfett1,2, Stuart Townley3, Kristofer Allerfeldt4.   

Abstract

The Bubonic Plague outbreak that wormed its way through San Francisco's Chinatown in 1900 tells a story of prejudice guiding health policy, resulting in enormous suffering for much of its Chinese population. This article seeks to discuss the potential for hidden "prejudice" should Artificial Intelligence (AI) gain a dominant foothold in healthcare systems. Using a toy model, this piece explores potential future outcomes, should AI continue to develop without bound. Where potential dangers may lurk will be discussed, so that the full benefits AI has to offer can be reaped whilst avoiding the pitfalls. The model is produced using the computer programming language MATLAB and offers visual representations of potential outcomes. Interwoven with these potential outcomes are numerous historical models for problems caused by prejudice and recent issues in AI systems, from police prediction and facial recognition software to recruitment tools. Therefore, this research's novel angle, of using historical precedents to model and discuss potential futures, offers a unique contribution. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00146-020-01120-w.
© The Author(s) 2020.

Entities:  

Keywords:  Artificial intelligence; Bias; Healthcare; History; Mathematics

Year:  2020        PMID: 33362363      PMCID: PMC7754701          DOI: 10.1007/s00146-020-01120-w

Source DB:  PubMed          Journal:  AI Soc        ISSN: 0951-5666


  3 in total

1.  Can machine-learning improve cardiovascular risk prediction using routine clinical data?

Authors:  Stephen F Weng; Jenna Reps; Joe Kai; Jonathan M Garibaldi; Nadeem Qureshi
Journal:  PLoS One       Date:  2017-04-04       Impact factor: 3.240

2.  Identifying on admission patients likely to develop acute kidney injury in hospital.

Authors:  Anastasios Argyropoulos; Stuart Townley; Paul M Upton; Stephen Dickinson; Adam S Pollard
Journal:  BMC Nephrol       Date:  2019-02-14       Impact factor: 2.388

3.  Indirect Reciprocity and the Evolution of Prejudicial Groups.

Authors:  Roger M Whitaker; Gualtiero B Colombo; David G Rand
Journal:  Sci Rep       Date:  2018-09-05       Impact factor: 4.379

  3 in total

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