Role of Risks in the Development of Responsible Artificial Intelligence in the Digital Healthcare Domain

被引:0
|
作者
Shivam Gupta
Shampy Kamboj
Surajit Bag
机构
[1] NEOMA Business School,Department of Information Systems, Supply Chain & Decision Making
[2] National Institute of Technology Hamirpur,Department of Management Studies
[3] International University of Rabat,Department of Supply Chain Management/ Information Systems, Rabat Business School
来源
关键词
Responsible artificial intelligence; Digital healthcare; Perceived trust; Perceived privacy risk;
D O I
暂无
中图分类号
学科分类号
摘要
The use of artificial intelligence (AI) in the healthcare field is gaining popularity. However, it also raises some concerns related to privacy and ethical aspects that require the development of a responsible AI framework. The principle of responsible AI states that artificial intelligence-based systems should be considered a part of composite societal and technological systems. This study attempts to establish whether AI risks in digital healthcare are positively associated with responsible AI. The moderating effect of perceived trust and perceived privacy risks is also examined. The theoretical model was based on perceived risk theory. Perceived risk theory is important in the context of this study, as risks related to uneasiness and uncertainty can be expected in the development of responsible AI due to the volatile nature of intelligent applications. Our research provides some interesting findings which are presented in the discussion section.
引用
收藏
页码:2257 / 2274
页数:17
相关论文
共 50 条
  • [1] Role of Risks in the Development of Responsible Artificial Intelligence in the Digital Healthcare Domain
    Gupta, Shivam
    Kamboj, Shampy
    Bag, Surajit
    [J]. INFORMATION SYSTEMS FRONTIERS, 2023, 25 (06) : 2257 - 2274
  • [2] Guiding principles for the responsible development of artificial intelligence tools for healthcare
    Kimberly Badal
    Carmen M. Lee
    Laura J. Esserman
    [J]. Communications Medicine, 3
  • [3] Guiding principles for the responsible development of artificial intelligence tools for healthcare
    Badal, Kimberly
    Lee, Carmen M.
    Esserman, Laura J.
    [J]. COMMUNICATIONS MEDICINE, 2023, 3 (01):
  • [4] Call for the responsible artificial intelligence in the healthcare
    Upadhyay, Umashankar
    Gradisek, Anton
    Iqbal, Usman
    Dhar, Eshita
    Li, Yu-Chuan
    Syed-Abdul, Shabbir
    [J]. BMJ HEALTH & CARE INFORMATICS, 2023, 30 (01)
  • [5] Artificial Intelligence Pathologist: The use of Artificial Intelligence in Digital Healthcare
    Kaddour, Asmaa Ben Ali
    Abdulaziz, Nidhal
    [J]. 2021 IEEE GLOBAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INTERNET OF THINGS (GCAIOT), 2021, : 31 - 36
  • [6] An Exploratory Diagnosis of Artificial Intelligence Risks for a Responsible Governance
    Teixeira, Sonia
    Rodrigues, Jose Coelho
    Veloso, Bruno
    Gama, Joao
    [J]. PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON THEORY AND PRACTICE OF ELECTRONIC GOVERNANCE, ICEGOV 2022, 2022, : 25 - 31
  • [7] SHIFTing artificial intelligence to be responsible in healthcare: A systematic review
    Siala, Haytham
    Wang, Yichuan
    [J]. SOCIAL SCIENCE & MEDICINE, 2022, 296
  • [8] Responsible artificial intelligence for addressing equity in oral healthcare
    Khoury, Zaid H.
    Ferguson, Alexys
    Price, Jeffery B.
    Sultan, Ahmed S.
    Wang, Rong
    [J]. FRONTIERS IN ORAL HEALTH, 2024, 5
  • [9] Artificial intelligence in the water domain: Opportunities for responsible use
    Doorn, Neelke
    [J]. SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 755
  • [10] Rewards, risks and responsible deployment of artificial intelligence in water systems
    Catherine E. Richards
    Asaf Tzachor
    Shahar Avin
    Richard Fenner
    [J]. Nature Water, 2023, 1 (5): : 422 - 432