The Need for More Attention to The Validity and Reliability of AI-Generated Exercise Programs
Keywords:
Chatbots, reliability, validity, AI, exercise programsAbstract
In the evolving realm of health and fitness, the integration of artificial intelligence (AI), especially tools like ChatGPT in creating exercise programs, represents a significant technological leap. This paper addresses the critical need for thorough examination of the validity and reliability of such AI-generated exercise regimens. We explore the dual facets of opportunity and challenge presented by AI in fitness, emphasizing the importance of aligning AI recommendations with established exercise science principles and individual health requirements. The paper advocates for a systematic framework to assess these programs and discusses the potential risks and benefits. Ultimately, it seeks to bridge the gap between technological innovation and health safety, promoting responsible utilization of AI to enhance physical well-being. This discussion contributes to the ongoing dialogue about AI's role in health and fitness, underscoring the need for a balanced approach that prioritizes both innovation and safety.
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References
1. Tirado-Olivares S, Navío-Inglés M, O’Connor-Jiménez P, Cózar-Gutiérrez R. From Human to Machine: Investigating the Effectiveness of the Conversational AI ChatGPT in Historical Thinking. Education Sciences. 2023;13(8):803. https://doi.org/10.3390/
educsci13080803
2. Williams R, Hopkins S, Frampton C, Holt-Quick C, Merry SN, Stasiak K. 21-Day Stress Detox: Open Trial of a Universal Well-Being Chatbot for Young Adults. Social Sciences. 2021;10(11):416. https://doi.org/10.3390/socsci10110416
3. Sakane N, Suganuma A, Domichi M, Sukino S, Abe K, Fujisaki A, et al. The Effect of a mHealth App (KENPO-app) for Specific Health Guidance on Weight Changes in Adults With Obesity and Hypertension: Pilot Randomized Controlled Trial. JMIR Mhealth Uhealth. 2023;11:e43236. [PMID: 37043287] [PMCID: PMC10134028]. https://doi.org/10.2196/43236
4. Li Y, Li X. The Artificial Intelligence System for the Generation of Sports Education Guidance Model and Physical Fitness Evaluation Under Deep Learning. Front Public Health. 2022;10:917053. [PMID: 36016903] [PMCID: PMC9395691]. https://doi.org/
10.3389/fpubh.2022.917053
5. Rhon D, Boyles R, Cleland JA. One-Year Outcome of Subacromial Corticosteroid Injection Compared With Manual Physical Therapy for the Management of the Unilateral Shoulder Impingement Syndrome. Annals of Internal Medicine. 2014;161(3):161-9. [PMID: 25089860] https://doi.org/10.7326/M13-2199
6. Matsuo T, So R, Tanaka K, Mukai C. High-intensity interval aerobic exercise training (HIAT) in occupational health. The Journal of Physical Fitness and Sports Medicine. 2021;10(3):145-50. https://doi.org/10.7600/jpfsm.10.145
7. Thomas JH, Martijn CK, Nico LUvM, Tracey H, Kari B, Peter T, et al. i-CONTENT tool for assessing therapeutic quality of exercise programs employed in randomised clinical trials. British Journal of Sports Medicine. 2021;55(20):1153. [PMID: 33144350] [PMCID: PMC8479742]. https://doi.org/10.1136/bjsports-2019-101630
8. Wei S, Huang P, Li R, Liu Z, Zou Y. Exploring the Application of Artificial Intelligence in Sports Training: A Case Study Approach. Complexity. 2021;2021:4658937. https://doi.org/10.1155/2021/4658937
9. Peluso I. Exercise and Diet: The Unmentionable Truth. International Journal of Clinical Nutrition & Dietetics. 2015;1. https://doi.org/10.15344/2456-8171/2015/104
10. Ghorashi N, Ismail A, Ghosh P, Sidawy A, Javan R, Ghorashi NS. AI-powered chatbots in medical education: potential applications and implications. Cureus. 2023;15(8). PMID: 37692629] https://doi.org/10.7759/cureus.43271
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Copyright (c) 2023 Seyed Milad Saadati (Corresponding Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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