Literature DB >> 35619880

Catholic Health Care and AI Ethics: Algorithms for Human Flourishing.

Michael Miller1,2.   

Abstract

Artificial Intelligence (AI) contributes to common goods and common harms in our everyday lives. In light of the Collingridge dilemma, information about both the actual and potential harm of AI is explored and myths about AI are dispelled. Catholic health care is then presented as being in a unique position to exert its influence to model the use of AI systems that minimizes the risk of harm and promotes human flourishing and the common good. © Catholic Medical Association 2022.

Entities:  

Keywords:  AI ethics; Catholic health care; Catholic identity; Catholic social teaching; Collingridge dilemma; artificial intelligence; data colonialism; data ethics

Year:  2022        PMID: 35619880      PMCID: PMC9127892          DOI: 10.1177/00243639221082226

Source DB:  PubMed          Journal:  Linacre Q        ISSN: 0024-3639


  6 in total

1.  Ethical and religious directives for Catholic health care services.

Authors: 
Journal:  Origins       Date:  2001-07-19

2.  Lessons of mission discernment. The process renders decision making more participatory and transparent and produces better decisions, too.

Authors:  Paul D Marceau
Journal:  Health Prog       Date:  2003 Jul-Aug

3.  Dissecting racial bias in an algorithm used to manage the health of populations.

Authors:  Ziad Obermeyer; Brian Powers; Christine Vogeli; Sendhil Mullainathan
Journal:  Science       Date:  2019-10-25       Impact factor: 47.728

4.  Patient Data-Sharing for AI: Ethical Challenges, Catholic Solutions.

Authors:  Jean Baric-Parker; Emily E Anderson
Journal:  Linacre Q       Date:  2020-05-15

Review 5.  Big Data in Public Health: Terminology, Machine Learning, and Privacy.

Authors:  Stephen J Mooney; Vikas Pejaver
Journal:  Annu Rev Public Health       Date:  2017-12-20       Impact factor: 21.981

Review 6.  High-performance medicine: the convergence of human and artificial intelligence.

Authors:  Eric J Topol
Journal:  Nat Med       Date:  2019-01-07       Impact factor: 53.440

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.