2025/05/27 by Bertram Højer, Højer, Bertram, Terne Sasha Thorn Jakobsen +5 · 3 voices · 1 citation
Computer Science · Medicine · #AI in Service Interactions #Artificial Intelligence in Healthcare and Education #Big Data and Digital Economy #Cognition #Framing (construction) #Natural language #Natural language understanding #Perception #Variety (cybernetics) #cs.CL #cs.CY
paper · pdf · open access · doi:10.48550/arxiv.2505.20959
published in IT University Of Copenhagen (IT University of Copenhagen) (IT University of Copenhagen)
openalex publication_date 2025/05/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
Despite the widespread use of ''artificial intelligence'' (AI) framing in Natural Language Processing (NLP) research, it is not clear what researchers mean by ''intelligence''. To that end, we present the results of a survey on the notion of ''intelligence'' among researchers and its role in the research agenda. The survey elicited complete responses from 303 researchers from a variety of fields including NLP, Machine Learning (ML), Cognitive Science, Linguistics, and Neuroscience. We identify 3 criteria of intelligence that the community agrees on the most: generalization, adaptability, & reasoning. Our results suggests that the perception of the current NLP systems as ''intelligent'' is a minority position (29%). Furthermore, only 16.2% of the respondents see developing intelligent systems as a research goal, and these respondents are more likely to consider the current systems intelligent.