JMIR RESEARCH PROTOCOLS | WHAT IS THE ROLE OF HUMAN DECISION-MAKING IN AN AI-DRIVEN FUTURE IN HEALTH?
21 Mar 2023
"Right now, humans are the leaders, managers, and decision makers in these complex health services, but AI is transforming this space."
TORONTO and PHILADELPHIA, March 21, 2023 /PRNewswire/ -- Australian researchers have established a set of protocols for a research project in JMIR Research Protocols that aims to explore whether humans will continue in meaningful decision-making roles in an AI-driven future. The researchers, Dr Nandini Doreswamy and Dr Louise Horstmanshof from Southern Cross University, found that there is a dearth of guidance in establishing whole sets of protocols for methods used in complex health research.
They have now established protocols that focus on non-clinical health services such as health regulation and health policy. These health services can be complex, the researchers say, and even more extensive in their scope and scale than clinical healthcare. During the pandemic, these services formed a continuum of rules, laws, and public health measures that varied from country to country. An array of organizations, including private organizations, commercial concerns, and different levels of government may be involved in the oversight and control of these services.
"Right now, humans are the leaders, managers, and decision makers in these complex health services, " Dr Doreswamy said, "but AI is transforming this space. The time has come to ask whether humans will continue to have meaningful decision-making roles in this domain."
AI-driven decision-making may not be as accountable, unbiased, or transparent as required, the researchers say, but nevertheless, it is starting to dominate these complex domains. It may be prone to incorrect or unfair decisions, which is, perhaps, why AI is not currently allowed to make the final decisions in complex health services.
"Furthermore, rationality has long dominated this space," Dr Horstmanshof said. "What role does intuition play?"
The researchers have established protocols for a research project that aims to explore these questions. The project will consist of four steps. The first is a review that will identify and map human attributes that influence decision-making in complex health services. The second is also a review, one that will identify and map AI attributes that influence decision-making in this context. The third step is a comparative analysis of the two sets of attributes - human and AI - to find out whether humans have attributes that could influence decision-making for the better. The fourth and final step is a simulation study, where a virtual human and a virtual AI decision maker will be introduced into a simulated health policy environment.
"We want to explore, observe, and document how humans interact with AI, at least in a simulated environment," Dr Doreswamy said. "It may show us whether humans are likely to compete, cooperate, or converge with AI, and thus remain relevant in the decision-making of the future, in complex healthcare."
Dr Horstmanshof noted that the protocols not only provide a roadmap for the proposed research, but also provide an example of a 'protocol of protocols' for methods used in health research. This may be relevant and useful in other spheres of complex research, she said, such as human-AI interaction and health informatics. It may also offer an opportunity to further investigate the issue of bias, the dominance of rationality, and the likely influence of intuition.
DOI - https://doi.org/10.2196/42353
Full-text - https://www.researchprotocols.org/2022/12/e42353/
Corresponding author - Nandini Doreswamy, MBA, MBBS, MS, National Coalition of Independent Scholars, Suite 465, 48 Dickson Place, Dickson, ACT, AU
Phone - 61 424890997
Email - [email protected]
Keywords - human decision-making, AI decision-making, human-AI interaction, human roles, artificial intelligence, nonclinical health services, health policy, health regulation
About JMIR Publications
JMIR Publications is a leading, born-digital, open access publisher of 30+ academic journals and other innovative scientific communication products that focus on the intersection of health and technology. Its flagship journal, the Journal of Medical Internet Research, is the leading digital health journal globally in content breadth and visibility, and it is the largest journal in the medical informatics field.
To learn more about JMIR Publications, please visit https://www.JMIRPublications.com or connect with us via:
YouTube - https://www.youtube.com/c/JMIRPublications
Facebook - https://www.facebook.com/JMedInternetRes
Twitter - https://twitter.com/jmirpub
LinkedIn - https://www.linkedin.com/company/jmir-publications
Instagram - https://www.instagram.com/jmirpub/
Head Office - 130 Queens Quay East, Unit 1100 Toronto, ON, M5A 0P6 Canada
Media Contact - [email protected]
The content of this communication is licensed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, published by JMIR Publications, is properly cited.
This news release was issued on behalf of Newswise™. For more information, visit http://www.newswise.com.
Media Contacts: Ryan James Jessup JD/MPA
Publication Communications Specialist
Communications & Knowledge Translation Department
[email protected]
Mobile: (202) 638 9720
SOURCE JMIR Publications
For more details,please visit the original website
The content of the article does not represent any opinions of Synapse and its affiliated companies. If there is any copyright infringement or error, please contact us, and we will deal with it within 24 hours.
Organizations
Indications
-Targets
-Drugs
-Hot reports
Get started for free today!
Accelerate Strategic R&D decision making with Synapse, PatSnap’s AI-powered Connected Innovation Intelligence Platform Built for Life Sciences Professionals.
Start your data trial now!
Synapse data is also accessible to external entities via APIs or data packages. Leverages most recent intelligence information, enabling fullest potential.