From the Instinctive Drowning Response to Intelligent Water Safety: A Research Agenda for AI-Augmented Aquatic Risk Science

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Dr. Francesco Pia
Dr. Francesco Pia
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Francesco Pia
Francesco Pia
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GJMR Volume 25 Issue K4

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This article proposes a research program that integrates recent advances in artificial intelligence with established theory and practice in drowning prevention, lifeguard operations, and aquatic risk management. Building on prior contributions that characterized the Instinctive Drowning Response and clarified the cognitive and perceptual demands placed on rescuers, I outline how intelligent systems can support earlier recognition, better prioritization, and more reliable intervention in aquatic environments. The paper introduces a modular architecture for AI-enhanced water safety that spans perception, causal risk modeling, decision support, education and training, and system-level prevention. It presents practical evaluation criteria, interdisciplinary collaboration paths, and governance principles tailored to the realities of beaches, pools, waterparks, and open water. The agenda emphasizes human-centered design, ethical deployment, and translational research that connects laboratory methods with lifeguard stands, facility control rooms, and public health practice

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No external funding was declared for this work.

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The authors declare no conflict of interest.

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Dr. Francesco Pia. 2026. \u201cFrom the Instinctive Drowning Response to Intelligent Water Safety: A Research Agenda for AI-Augmented Aquatic Risk Science\u201d. Global Journal of Medical Research - K: Interdisciplinary GJMR-K Volume 25 (GJMR Volume 25 Issue K4): .

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Crossref Journal DOI 10.17406/gjmra

Print ISSN 0975-5888

e-ISSN 2249-4618

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This article proposes a research program that integrates recent advances in artificial intelligence with established theory and practice in drowning prevention, lifeguard operations, and aquatic risk management. Building on prior contributions that characterized the Instinctive Drowning Response and clarified the cognitive and perceptual demands placed on rescuers, I outline how intelligent systems can support earlier recognition, better prioritization, and more reliable intervention in aquatic environments. The paper introduces a modular architecture for AI-enhanced water safety that spans perception, causal risk modeling, decision support, education and training, and system-level prevention. It presents practical evaluation criteria, interdisciplinary collaboration paths, and governance principles tailored to the realities of beaches, pools, waterparks, and open water. The agenda emphasizes human-centered design, ethical deployment, and translational research that connects laboratory methods with lifeguard stands, facility control rooms, and public health practice

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From the Instinctive Drowning Response to Intelligent Water Safety: A Research Agenda for AI-Augmented Aquatic Risk Science

Francesco Pia
Francesco Pia

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