Responsible AI for DRM

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GFDRR, University of Toronto, and Deltares have developed a draft report ont the Responsible Use of AI for Disaster Risk Management. We are looking for reviewers of the report as well as case studies or examples of ML projects that address this issue in novel or innovative ways, and machine learning experts willing to be interviewed for their views on this topic. Please fill out the form below to be sent a copy of the report or particpate in other ways.

Email *

Name

Organization

Briefly describe your work with machine learning or data science and disaster risk management or climate change adaptation

Would you be willing to

Provide a case study or example of a project where responsible use of machine learning tools is a central focus?

Provide feedback on early drafts of recommendations for ML practiitioners and project managers working in DRM?

Participate in 30 minute interview on this topic to inform recommendations and academic research

Is there any other information you would like to share at this time?

Send me a copy of my responses.

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