Artificial intelligence (AI) is playing a pivotal role in enhancing community engagement by making specialized knowledge more accessible. In astronomy, for instance, AI-driven projects are transforming complex scientific terminology into plain language, enabling broader public participation.
The RGZ EMU (Radio Galaxy Zoo Evolutionary Map of the Universe) collaboration has developed an AI approach that translates technical terms into simple English descriptors. This innovation allows citizen scientists to engage with radio astronomy data without requiring extensive training, fostering inclusivity and democratizing scientific research.
Moreover, AI is facilitating the development of specialized language models tailored to specific domains. AstroLLaMA, a 7-billion-parameter model fine-tuned from LLaMA-2 using over 300,000 astronomy abstracts, exemplifies this trend.
By generating scientifically relevant text completions, such models bridge the gap between experts and the public, enhancing communication and understanding within communities.
