Artificial Intelligence and Regulation : Total Quality Management for Mental Health Services

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Danias, Nikolaos and Koukopoulos, Anastasios (2023) Artificial Intelligence and Regulation : Total Quality Management for Mental Health Services. Discussion paper. University of Strathclyde, Glasgow. (https://www.strath.ac.uk/business/economics/resear...)

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Abstract

Artificial Intelligence becomes increasingly embedded in various forms in organizational processes and business activities, transforming the structures that support organizations and industries at global scale. The advance of Artificial Intelligence is expected to shift paradigms in several sectors. Technological innovations bring the need for regulatory institutions and frameworks to be introduced to monitor and control Artificial Intelligence applications, such as ChatGPT and other similar platforms in their current and future forms. This paper contributes to the literature on regulation of the services of Artificial Intelligence platforms. Through a Multivocal Literature review, the paper argues for the need for such regulations. We suggest that Artificial Intelligence needs to be regulated, and that this will be beneficial for the development of the quality of the services. Through direction of the regulatory institution, proper implementation of Artificial Intelligence in mental health services leads to business performance effects for the mental health providers and to health improvement outcomes for the patients, and eventually to the transformation of the paradigm of this sector’s services. We propose directions for the implementation of a TQM model, normalized in the standards of Industry 5.0, and adapted for the Mental Health Services sector. Through the EFQM Model, the paper argues for the approach that can be implemented in regulating the Artificial Intelligence industry to ensure high performance and quality assurance. We suggest that results can be affected by stakeholder’s perceptions, and we focus on the challenge of fast-moving Artificial Intelligence mental health services platforms coexisting as stakeholders with slow-moving medical bodies which establish practices and protocols. Medical bodies are identified as key stakeholders restrained by their commitment to uphold deontological ethics.

ORCID iDs

Danias, Nikolaos ORCID logoORCID: https://orcid.org/0000-0003-0678-5630 and Koukopoulos, Anastasios;
  • Item type:Monograph(Discussion paper)
    ID code:91348
    Dates:
    Date
    Event
    8 September 2023
    Published
    4 September 2023
    Submitted
    Subjects:Social Sciences > Economic Theory
    Department:Strathclyde Business School > Economics
    Depositing user: Pure Administrator
    Date deposited:03 Dec 2024 14:43
    Last modified:05 Dec 2024 01:07
    URI:https://strathprints.strath.ac.uk/id/eprint/91348
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