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 government's 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 $27 billion per year. In disaster risk management, ML can help create actionable information faste...
Source: worldbank.org