J10B From Data to Decision: AI at the Intersection of Meteorology, Climate, and Society

Wednesday, 31 January 2024: 10:45 AM-12:00 PM
338 (The Baltimore Convention Center)
Hosts: (Joint between the 23rd Conference on Artificial Intelligence for Environmental Science; and the 19th Symposium on Societal Applications: Policy, Research and Practice )

We propose a joint session between the conference on artificial intelligence for environmental science and the symposium on societal applications: policy, research and practice.

AI is permeating nearly ever aspect of society. Language models like ChatGPT have dominated headlines, while in the realm of environmental sciences data-driven models are already performing comparably to traditional numerical weather prediction models. Still, the emphasis of AI at AMS has been largely technical, focusing on the development and verification of AI models rather than the deployment and implications of these models. 

The topics for this session will fall at this critical intersection of AI and society. We invite presentations on user-centered development and deployment of AI models, applications of AI to societal data, the communication, visualization, and use of AI-derived information, or other related research.

Papers:
10:45 AM
J10B.1
Identifying Societal Vulnerabilities and Resilience Related to Weather Using Newspapers and Artificial Intelligence
Renee Sieber, McGill Univ., Montreal West, QC, Canada; and F. Fabry, V. Slonosky, M. Wang, and Y. Zhang

11:00 AM
J10B.2
Analyzing Socio-Geographic Disparities Through Geolocated Social Media Content During Hurricane Ida
Achraf Tounsi, iSMART Lab, Stevens Institute of Technology, Hoboken, NJ

11:15 AM
J10B.3
Improving Generalizability of Road Condition Classification Models for Department of Transportation Camera Images
Carly Sutter, Univ. at Albany, SUNY, Albany, NY; and K. J. Sulia, N. P. Bassill, C. D. Thorncroft, V. Przybylo, C. D. Wirz, M. G. Cains, J. T. Radford, and D. A. Evans

11:30 AM
J10B.4
NWS Forecaster Perceptions of New AI Guidance for Coastal Fog Prediction
Christopher D. Wirz, NSF NCAR, Boulder, CO; and J. L. Demuth, H. M. Marrero Colominas, J. T. Radford, P. E. Tissot, M. G. Cains, H. Kamangir, E. A. Krell, A. Bostrom, S. A. King, W. G. Collins, and J. K. Williams

11:45 AM
J10B.5
Forecaster Perceptions of Trustworthiness, Explainability, and Interpretability in the Context of AI-Derived Guidance
Mariana Goodall Cains, NCAR, Boulder, CO; and C. D. Wirz, J. L. Demuth, A. Bostrom, M. C. White, and J. T. Radford

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner