Weihsueh A Chiu, Galen Newman, Garett Sansom, Xinyue Ye, Andriy Rusyn, Haotian Wu, Tom Winckelman, Ivan Rusyn
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MyEcoReporter: a prototype for artificial intelligence-facilitated pollution reporting.
Background: Many chemical releases are first noticed by community members, but reporting these concerns often involves considerable hurdles. Artificial Intelligence (AI)-enabled technologies, especially large language models (LLMs), can potentially reduce these barriers.
Objective: We hypothesized that AI-powered chatbots can facilitate reporting of pollution incidents through text messaging.
Methods: We created an AI-powered chatbot, "MyEcoReporter," that enables communities to report environmental incidents to government authorities. Eschewing traditional web-based forms, users text concerns via SMS to the LLM-powered application, engaging in a natural conversation through which required information is collected. The application was built using Python, AWS Lambda, DynamoDB, and Twilio, and deployed via Serverless.
Results: This architecture allowed rapid customization for various use cases, which successfully facilitated conversations and stored structured data for formal submission.
Impact statement: MyEcoReporter showcases the potential of Artificial Intelligence/Large Language Models to create user-friendly tools that translate community environmental concerns into actionable information for reporting to government authorities.
期刊介绍：
Journal of Exposure Science and Environmental Epidemiology (JESEE) aims to be the premier and authoritative source of information on advances in exposure science for professionals in a wide range of environmental and public health disciplines.
JESEE publishes original peer-reviewed research presenting significant advances in exposure science and exposure analysis, including development and application of the latest technologies for measuring exposures, and innovative computational approaches for translating novel data streams to characterize and predict exposures. The types of papers published in the research section of JESEE are original research articles, translation studies, and correspondence. Reported results should further understanding of the relationship between environmental exposure and human health, describe evaluated novel exposure science tools, or demonstrate potential of exposure science to enable decisions and actions that promote and protect human health.
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