One hundred important questions facing forestry research: an exploratory case study of AI-generated agendas, biases, and future scenarios
It is concluded that robust research prioritization should combine LLM’s analytical speed with diverse expert perspectives to ensure equitable and comprehensive agenda setting, and that while a large language model (LLM) can accelerate the generation of candidate research agendas, it cannot substitute for inclusive, co...