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ETHICAL ASPECTS OF THE APPLICATION OF GENERATIVE ARTIFICIAL INTELLIGENCE FOR DISASTER RISK REDUCTION
Abstract
The aim of the paper is to analyze the key ethical aspects of the application of Generative Artificial Intelligence (GenAI) in disaster risk reduction (DRR), identifying the challenges and proposing a framework for their responsible solving. GenAI is a transformative technology in DRR, which offers new possibilities for predicting, preventing and responding to natural disasters. GenAI can create detailed simulations for training, analyze large data sets in real time, generate personalized warnings and optimize logistics. Despite the significant potential, its implementation is accompanied by a set of ethical challenges that require careful consideration. The GenAI inherent bias in algorithms can lead to discriminatory forecasting models that underestimate risks for marginalized communities or redirect resources to more privileged areas. The GenAI model complexity makes them difficult to interpret, creating problems with responsibility. GenAI can create convincing fake images, videos and text messages that can be used to manipulate public opinion during natural disasters, creating additional threats to public safety. GenAI operations require the processing of huge volumes of sensitive data, which raises privacy issues and possible misuse. Thus, a comprehensive ethical framework and governance approaches are needed to address these challenges.
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References12
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