MyEcoReporter: a prototype for artificial intelligence-facilitated pollution reporting.

Journal: Journal of exposure science & environmental epidemiology
PMID: 39833328

Abstract

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.

Authors

  • Weihsueh A Chiu
    Veterinary Integrative Biosciences, College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas, USA.
  • Galen Newman
    Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX, USA.
  • Garett Sansom
    Department of Environmental and Occupational Health, Texas A&M University, College Station, TX, USA.
  • Xinyue Ye
    Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX, USA.
  • Andriy Rusyn
    Independent Consultant, Denver, CO, USA.
  • Haotian Wu
    Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
  • Tom Winckelman
    Department of Veterinary Physiology & Pharmacology, Texas A&M University, College Station, TX, USA.
  • Ivan Rusyn
    College of Veterinary Medicine and Biomedical Sciences, Texas A&M University, College Station, Texas 77843.

Keywords

External Resources

Popular Topics
Recent Journals