IMPLICATIONS OF ARTIFICIAL INTELLIGENCE DRIVEN DRONE SYSTEMS FOR RECOGNITION OF ENVIRONMENTAL HAZARDS

Summary: Artificial intelligence driven drone systems offer promising solutions for early detection and response to environmental hazards like wildfires and oil leaks. However, their widespread adoption raises significant ethical and environmental implications, including privacy infringements, algorithmic bias, data security, noise pollution, and greenhouse gas emissions. This study addresses these issues through literature reviews, surveys of affected populations, and prototype testing of AI models for disaster identification, in order to mitigate ethical issues. A specific metric was developed to rate drone components and identify the most sustainable options, minimizing the environmental impact. By promoting these solutions, this research aims to ensure the sustainable and responsible integration of artificial intelligence systems in environmental monitoring, protecting ecosystems and communities effectively.