Who Determines What Is Relevant? Humans or AI? Why Not Both? A spectrum of human–artificial intelligence collaboration in assessing relevance

Research output: Contribution to journalComment/debateResearchpeer review

Authors

  • Guglielmo Faggioli
  • Laura Dietz
  • Charles L.A. Clarke
  • Gianluca Demartini
  • Matthias Hagen
  • Claudia Hauff
  • Noriko Kando
  • Evangelos Kanoulas
  • Martin Potthast
  • Benno Stein
  • Henning Wachsmuth

Research Organisations

External Research Organisations

  • University of Padova
  • University of New Hampshire
  • University of Waterloo
  • University of Queensland
  • Friedrich Schiller University Jena
  • Spotify
  • Research Organization of Information and Systems National Institute of Informatics
  • University of Amsterdam
  • Leipzig University
  • Bauhaus-Universität Weimar
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Details

Original languageEnglish
Pages (from-to)31-34
Number of pages4
JournalCommunications of the ACM
Volume67
Issue number4
Early online date15 Mar 2024
Publication statusPublished - 25 Mar 2024

ASJC Scopus subject areas

Cite this

Who Determines What Is Relevant? Humans or AI? Why Not Both? A spectrum of human–artificial intelligence collaboration in assessing relevance. / Faggioli, Guglielmo; Dietz, Laura; Clarke, Charles L.A. et al.
In: Communications of the ACM, Vol. 67, No. 4, 25.03.2024, p. 31-34.

Research output: Contribution to journalComment/debateResearchpeer review

Faggioli, G, Dietz, L, Clarke, CLA, Demartini, G, Hagen, M, Hauff, C, Kando, N, Kanoulas, E, Potthast, M, Stein, B & Wachsmuth, H 2024, 'Who Determines What Is Relevant? Humans or AI? Why Not Both? A spectrum of human–artificial intelligence collaboration in assessing relevance', Communications of the ACM, vol. 67, no. 4, pp. 31-34. https://doi.org/10.1145/3624730
Faggioli, G., Dietz, L., Clarke, C. L. A., Demartini, G., Hagen, M., Hauff, C., Kando, N., Kanoulas, E., Potthast, M., Stein, B., & Wachsmuth, H. (2024). Who Determines What Is Relevant? Humans or AI? Why Not Both? A spectrum of human–artificial intelligence collaboration in assessing relevance. Communications of the ACM, 67(4), 31-34. https://doi.org/10.1145/3624730
Faggioli G, Dietz L, Clarke CLA, Demartini G, Hagen M, Hauff C et al. Who Determines What Is Relevant? Humans or AI? Why Not Both? A spectrum of human–artificial intelligence collaboration in assessing relevance. Communications of the ACM. 2024 Mar 25;67(4):31-34. Epub 2024 Mar 15. doi: 10.1145/3624730
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