Advocating for population health: The role of public health practitioners in the age of artificial intelligence

被引:2
作者
Kamyabi, Alireza [1 ]
Iyamu, Ihoghosa [2 ,3 ]
Saini, Manik [1 ]
May, Curtis [3 ]
McKee, Geoffrey [2 ,3 ]
Choi, Alex [1 ]
机构
[1] Vancouver Coastal Hlth, Vancouver, BC, Canada
[2] British Columbia Ctr Dis Control, Vancouver, BC, Canada
[3] Univ British Columbia, Sch Populat & Publ Hlth, Vancouver, BC, Canada
来源
CANADIAN JOURNAL OF PUBLIC HEALTH-REVUE CANADIENNE DE SANTE PUBLIQUE | 2024年 / 115卷 / 03期
关键词
Digital technologies; Artificial intelligence; Public health; Health equity; Determinants of health; Technologie num & eacute; rique; intelligence artificielle; sant & eacute; publique; & eacute; quit & eacute; en sant & eacute; d & eacute; terminants de la sant & eacute;
D O I
10.17269/s41997-024-00881-x
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Over the past decade, artificial intelligence (AI) has begun to transform Canadian organizations, driven by the promise of improved efficiency, better decision-making, and enhanced client experience. While AI holds great opportunities, there are also near-term impacts on the determinants of health and population health equity that are already emerging. If adoption is unregulated, there is a substantial risk that health inequities could be exacerbated through intended or unintended biases embedded in AI systems. New economic opportunities could be disproportionately leveraged by already privileged workers and owners of AI systems, reinforcing prevailing power dynamics. AI could also detrimentally affect population well-being by replacing human interactions rather than fostering social connectedness. Furthermore, AI-powered health misinformation could undermine effective public health communication. To respond to these challenges, public health must assess and report on the health equity impacts of AI, inform implementation to reduce health inequities, and facilitate intersectoral partnerships to foster development of policies and regulatory frameworks to mitigate risks. This commentary highlights AI's near-term risks for population health to inform a public health response. Au cours de la derni & egrave;re d & eacute;cennie, l'intelligence artificielle (IA) a commenc & eacute; & agrave; transformer les organismes canadiens en leur promettant une plus grande efficience, de meilleurs processus d & eacute;cisionnels et une exp & eacute;rience client enrichie. Bien qu'elle rec & egrave;le d'immenses possibilit & eacute;s, l'IA aura des effets & agrave; court terme - qui se font d'ailleurs d & eacute;j & agrave; sentir - sur les d & eacute;terminants de la sant & eacute; et sur l'& eacute;quit & eacute; en sant & eacute; des populations. Si son adoption n'est pas r & eacute;glement & eacute;e, il se peut tr & egrave;s bien que les iniquit & eacute;s en sant & eacute; continuent d'& ecirc;tre exacerb & eacute;es par les pr & eacute;jug & eacute;s, intentionnels ou non, ancr & eacute;s dans les syst & egrave;mes d'IA. Les nouvelles possibilit & eacute;s & eacute;conomiques pourraient & ecirc;tre d & eacute;mesur & eacute;ment exploit & eacute;es par les travailleurs et les travailleuses d & eacute;j & agrave; privil & eacute;gi & eacute;s et par les propri & eacute;taires des syst & egrave;mes d'IA, renfor & ccedil;ant ainsi la dynamique de pouvoir existante. L'IA pourrait aussi nuire au bien-& ecirc;tre des populations en rempla & ccedil;ant les interactions humaines au lieu de favoriser la connexit & eacute; sociale. De plus, la m & eacute;sinformation sur la sant & eacute; aliment & eacute;e par l'IA pourrait r & eacute;duire l'efficacit & eacute; des messages de sant & eacute; publique. Pour relever ces d & eacute;fis, la sant & eacute; publique devra & eacute;valuer et communiquer les effets de l'IA sur l'& eacute;quit & eacute; en sant & eacute;, en mod & eacute;rer la mise en oe uvre pour r & eacute;duire les iniquit & eacute;s en sant & eacute;, et faciliter des partenariats intersectoriels pour & eacute;clairer l'& eacute;laboration de politiques et de cadres r & eacute;glementaires d'att & eacute;nuation des risques. Le pr & eacute;sent commentaire fait ressortir les risques & agrave; court terme de l'IA pour la sant & eacute; des populations afin d'& eacute;clairer la riposte de la sant & eacute; publique.
引用
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页码:473 / 476
页数:4
相关论文
共 15 条
  • [1] Artificial Intelligence for Health Task Force, 2020, Building a learning health system for Canadians
  • [2] Canadian Public Health Association, 2017, Public health: a conceptual framework, V2nd
  • [3] Dastin J., 2018, Insight - Amazon scraps secret AI recruiting tool that showed bias against women
  • [4] ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health
    De Angelis, Luigi
    Baglivo, Francesco
    Arzilli, Guglielmo
    Privitera, Gaetano Pierpaolo
    Ferragina, Paolo
    Tozzi, Alberto Eugenio
    Rizzo, Caterina
    [J]. FRONTIERS IN PUBLIC HEALTH, 2023, 11
  • [5] European Union Agency for Fundamental Rights, 2022, Bias in Algorithms. Artificial Intelligence and Discrimination
  • [6] Government of Canada, 2022, The Artificial Intelligence and Data Act (AIDA)
  • [7] Guilfoos T, 2023, NATURE, V617, P676, DOI [10.1038/d41586-023-01694-7, 10.1038/d41586-023-01693-8]
  • [8] Bias in, bias out: Underreporting and underrepresentation of diverse skin types in machine learning research for skin cancer detection- A scoping review
    Guo, Lisa N.
    Lee, Michelle S.
    Kassamali, Bina
    Mita, Carol
    Nambudiri, Vinod E.
    [J]. JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY, 2022, 87 (01) : 157 - 159
  • [10] Klein N., 2023, From The Guardian