To harness machine learning for climate resilience, first address ethics challenges
To harness machine learning for climate resilience, first address ethics challenges From mapping hazard-prone urban areas in Tanzania to providing drought early warnings, disaster risk management professionals are finding new applications of machine learning (ML) at a rapid pace. Highlighted by the UK governments Frontier Data Report as a technology with "vast potential" to support climate adaptation and the Sustainable Development Goals, ML technology now represents a global industry valued at...
United Kingdom Dennis Wagenaar Deltares Annegien Tijssen Deltares Eleanor Roosevelt University Of Toronto Sustainable Development Goals
Source: worldbank.org