Application of Artificial Intelligence in the Management of Drinking Water: A Narrative Review

Abstract

Waterborne illnesses are a significant concern worldwide. The management of water resources can be facilitated by artificial intelligence (AI) with the help of data analytics, regression models, and algorithms. Achieving the Sustainable Development Goals (SDGs) of the 2030 Agenda for Sustainable Development of the United Nations depends on understanding, communicating, and measuring the value of water and incorporating it into decision-making. Various barriers are used from the source to the consumer to prevent microbiological contamination of drinking water sources or reduce contamination to levels safe for human health. Infrastructure development and capacity-building policies should be integrated with guidelines on applying AI to problems relating to water to ensure good development outcomes. Communities can live healthily with such technology if they can provide clean, economical, and sustainable water to the ecosystem as a whole. Quick and accurate identification of waterborne pathogens in drinking and recreational water sources is essential for treating and controlling the spread of water-related diseases, especially in resource-constrained situations. To ensure successful development outcomes, policies on infrastructure development and capacity building should be combined with those on applying AI to water-related problems. The primary focus of this study is the use of AI in managing drinking water and preventing waterborne illness.

Microbial drinking water monitoring now and in the future

“…The collection of this big data (high‐resolution flow cytometry and other online data) in combination with machine learning will lead to a more precise monitoring and possibly even event prediction based on several online parameters (Sadler et al., 2020 ). Although the application of machine learning and artificial intelligence (AI) for drinking water monitoring is still under construction or constrained by legislation, it could have the potential to provide both the supplier and costumer with useful insights regarding water quality and safety (Maroju et al., 2023 ) (Figure 2 ). It has already been successfully applied for surface water monitoring, but, since we are only at the start of grasping AI's capabilities, full‐scale drinking water applications will probably follow soon (Pérez‐Beltrán et al., 2024 ; Rana et al., 2023 ).…”

Perceived Benefits And Concerns Of AI Integration In Higher Education: Insights From India

“…Overall School Management: AI is presently being utilized to run whole schools, including the IT, scheduling, maintenance, and budgeting, transportation, and student record systems. Writing: Lynch acknowledges that artificial intelligence (AI) is already being used to assist students in developing their writing abilities (Maroju et al, 2023). One of the main ideas in the subject is AI under the garb of customization, which is pushed as a means of improving education by, among other things, addressing socioeconomic inequities and increasing learning effectiveness.…”