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iConference 2021: Diversity, Divergence, Dialogue pp 3–13Cite as

Understanding the Evolution of the Concept of Artificial Intelligence in Different Publication Venues

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12645))

Abstract

This study aims to clarify the contours of artificial intelligence (AI) and present how it has evolved in different publication venues in the different stages of its development. Based on the noun phrases extracted from scientific papers of AI, the authors constructed the co-occurrence network of noun phrases to visualize the context of AI. There exists a tension between the original descriptive concept of AI as defined initially in the workshop at Dartmouth College and the relatively recent, vague, and extensible concept of AI. AI is used as a technique or boundary object by different scientific publication venues. This paper creatively applies the boundary object theory to clarify the contours of the concept of AI. Besides, the results will bridge the gap between different stakeholders (e.g., AI researchers, government policy makers, and business entities) in different communities together and promote the efficient and effective discussion and communication about AI.

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Notes

  1. 1.

    Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June (Paul) Hsu, and Kuansan Wang. 2015. An Overview of Microsoft Academic Service (MAS) and Applications. In Proceedings of the 24th International Conference on World Wide Web (WWW’15 Companion). ACM, New York, NY, USA, 243–246. DOI = https://dx.doi.org/10.1145/2740908.2742839.

  2. 2.

    https://azure.microsoft.com/en-us/services/data-lake-analytics/.

  3. 3.

    https://spacy.io/.

  4. 4.

    https://www.nltk.org/.

  5. 5.

    https://spacy.io/universe/project/scispacy.

  6. 6.

    https://gephi.org/.

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Acknowledgements

This work is supported by the National Science Foundation for Young Scientists of China (71904083), the Philosophy and Social Science Research Project for Universities in Jiangsu Province (2017SJB0258), the Social Science Foundation of Jiangsu Province (18TQD003), and the Research Development Program of Humanities and Social Sciences of Ministry of Education of China (16YJC870005). Additionally, the first author gratefully acknowledges the support by the China Scholarship Council (201906190070) during his visiting to The University of Texas at Austin from 2019 to 2020.

Author information

Authors and Affiliations

  1. Nanjing University, Nanjing, 210023, China

    Lianjie Xiao & Kai Qin

  2. Jiangsu Key Laboratory of Data Engineering and Knowledge Service, Nanjing, 210023, China

    Lianjie Xiao

  3. Nanjing University of Finance and Economics, Nanjing, 210023, China

    Weiwei Jiang

  4. The University of Texas at Austin, Austin, TX, 78705, USA

    Ying Ding

Authors
  1. Lianjie Xiao
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  2. Weiwei Jiang
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  3. Kai Qin
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  4. Ying Ding
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Corresponding author

Correspondence to Weiwei Jiang .

Editor information

Editors and Affiliations

  1. Humboldt University of Berlin, Berlin, Germany

    Katharina Toeppe

  2. Renmin University of China, Beijing, China

    Hui Yan

  3. The University of Hong Kong, Hong Kong, Hong Kong

    Samuel Kai Wah Chu

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Xiao, L., Jiang, W., Qin, K., Ding, Y. (2021). Understanding the Evolution of the Concept of Artificial Intelligence in Different Publication Venues. In: Toeppe, K., Yan, H., Chu, S.K.W. (eds) Diversity, Divergence, Dialogue. iConference 2021. Lecture Notes in Computer Science(), vol 12645. Springer, Cham. https://doi.org/10.1007/978-3-030-71292-1_1

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  • DOI: https://doi.org/10.1007/978-3-030-71292-1_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-71291-4

  • Online ISBN: 978-3-030-71292-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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