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Responsible AI for disaster risk management: Working Group summary
Format
01. Introduction
This document is intended to help practitioners and project managers working in disaster risk ensure that the deployment of artificial intelligence (AI), and machine learning (ML) in particular, is done in a manner that is both effective and responsible. The content of this report was produced as part of a 6-month interdisciplinary collaboration between experts from intergovernmental organizations, non-profits, academia, and the private sector. While we do not claim to offer the last word on this important topic, we are publishing the results of this collaboration in order to generate further discussion and help advance efforts towards better understanding the role of these technologies in pursuit of a world that is safer, more equitable, and more sustainable. It is our hope that as a product produced through intensive consultation with the community for whom it is written this document will
TorontoOntarioCanadaUniversity-of-torontoWorld-bank-global-facility-for-disaster-reductionWorld-bank-global-facilityDisaster-reductionடொராண்டோஆஂடேரியொகனடாபல்கலைக்கழகம்-ஆஃப்-டொராண்டோ