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About this paper
Marcin P. Joachimiak, Mark A. Miller, J. Harry Caufield, Ryan Ly, Nomi L. Harris, Andrew Tritt, Christopher J. Mungall, Kristofer E. Bouchard
An Artificial Intelligence Ontology (AIO) was constructed to standardize AI concepts and their interrelations, integrating both technical methods and ethical considerations. The ontology, developed with large language model (LLM) assistance, consistently covered nearly half of terms found in a dataset of 2,194 AI/ML research papers and enables dynamic updates in a rapidly evolving field.
Key insights
- Large Language Models can effectively assist in the dynamic and scalable construction and maintenance of ontologies, addressing the challenge of keeping pace with rapidly evolving scientific fields.
- A comprehensive AI ontology must integrate both technical components and crucial ethical dimensions, such as bias types, for promoting responsible AI development and analysis.
- Designing an ontology with modular composition in mind, aligning with practical AI development frameworks, enables flexible and powerful representations of complex AI methods.
Summary by alphaXiv.
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