Name: Session 2A: Trustworthy & Responsible AI
Start: 2021-09-13T14:15:00-0600
End: 2021-09-13T15:45:00-0600

About the workshop

This virtual workshop is a continuation of the NOAA series of workshops on “Leveraging AI in Environmental Sciences.” The third event continues the successes of previous workshops and encourages participation by scientists, program managers, and leaders from the public, academic and private sectors who work in AI and environmental sciences. The theme for this year’s workshop is “Transforming Weather, Climate Services, and Blue Economy with Artificial Intelligence.” This year’s workshop is led by the NOAA Center for Artificial Intelligence (NCAI), a program in the formulation stage.

All time listed on this page is Mountain Time (UTC-6) by default. You can change to your local time zone on the right side of this page. Questions regarding the workshop can be addressed to ai.workshop@noaa.gov. View the participant handbook for how to navigate the workshop technology platforms.

Registration for the workshop is closed and this page is viewable to registered participants only. Please do not share your access code publicly.

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Session 2A: Trustworthy & Responsible AI

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Chairs: Amy McGovern, Julie Demuth

Presentations (Mountain time):
14:15 – Antonios Mamalakis – "Explainable Artificial Intelligence for Environmental Sciences: A benchmark to assess and compare neural network attribution methods"
14:27 – David Harrison – "Challenges and Benefits of Machine Learning in an Operational Environment: Survey Results from the 2021 Hazardous Weather Testbed Spring Forecasting Experiment"
14:39 – Cindy Kaiying Lin – "Coding Climate Justice "
14:51 – Arjan Durresi – "Trustworthy Acceptance of AI-based Collective Management of Food-Water-Energy Resources"
15:03 – Brian Hu – "Explainable Artificial Intelligence (XAI): From Fish Classification to an Open-Source Toolkit"
15:15 – Courtney Bowman – "Responsible AI: An Ethical Framework"
15:30 – Discussion

Slack channel: #09_trustworthy-ai

Chairs

Julie Demuth

Project Scientist, NCAR/MMM Weather Risks and Decisions in Society research group & Co-lead of Risk Communication research of AI2ES

Amy McGovern

Professor & Director, NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography

Speakers

Brian Hu

Senior R&D Engineer, Kitware, Inc.

Arjan Durresi

Professor, Indiana University - Purdue University Indianapolis

Antonios Mamalakis

Colorado State University

Dr Mamalakis is a postdoctoral researcher at the Department of Atmospheric Science of Colorado State University, working under the supervision of professors Imme Ebert-Uphoff and Elizabeth Barnes. His research focuses on the application of machine learning (ML) and ML interpretability... Read More →