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Is there a role for statistics in artificial intelligence?

Advances in Data Analysis and Classification, vol. 16, pp. 823–846

Abstract

Abstract The research on and application of artificial intelligence (AI) has triggered a comprehensive scientific, economic, social and political discussion. Here we argue that statistics, as an interdisciplinary scientific field, plays a substantial role both for the theoretical and practical understanding of AI and for its future development. Statistics might even be considered a core element of AI. With its specialist knowledge of data evaluation, starting with the precise formulation of the research question and passing through a study design stage on to analysis and interpretation of the results, statistics is a natural partner for other disciplines in teaching, research and practice. This paper aims at highlighting the relevance of statistical methodology in the context of AI development. In particular, we discuss contributions of statistics to the field of artificial intelligence concerning methodological development, planning and design of studies, assessment of data quality and data collection, differentiation of causality and associations and assessment of uncertainty in results. Moreover, the paper also discusses the equally necessary and meaningful extensions of curricula in schools and universities to integrate statistical aspects into AI teaching.

Authors 14

  1. Universitätsmedizin Göttingen · University of Göttingen

    Affiliation as printed

    Department of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany

    Department of Medical Statistics, University Medical Center Göttingen; Göttingen, Germany

  2. University of Freiburg · University Medical Center Freiburg

    Affiliation as printed

    Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany

  3. Novartis (Switzerland)

    Affiliation as printed

    Novartis Pharma AG, Basel, Switzerland

    Novartis Pharma AG , Basel , Switzerland

  4. University of Freiburg · University Medical Center Freiburg

    Affiliation as printed

    Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany

  5. University of Bremen

    Affiliation as printed

    Competence Center for Clinical Trials and Institute of Statistics, University Bremen, Bremen, Germany

  6. Statistisches Bundesamt

    Affiliation as printed

    Federal Statistical Office of Germany, Wiesbaden, Germany

    Federal Statistical Office of Germany, Wiesbaden, Germany#TAB#

  7. TU Dortmund University

    Affiliation as printed

    Department of Statistics, TU Dortmund University, Dortmund, Germany

    Department of Statistics; TU Dortmund University; Dortmund, Germany

  8. Universität Ulm

    Affiliation as printed

    Institute of Medical Systems Biology, Ulm University, Ulm, Germany

    Institute of Medical Systems Biology - Ulm University, Ulm, Germany

  9. Ruhr University Bochum

    Affiliation as printed

    Faculty of Mathematics, Ruhr-Universität Bochum, Bochum, Germany

  10. Affiliation as printed

    Department of Sociology, University of Eichstätt-Ingolstadt, Ingolstadt, Germany

  11. TU Dortmund University

    Affiliation as printed

    Department of Statistics, TU Dortmund University, Dortmund, Germany

    Department of Statistics; TU Dortmund University; Dortmund, Germany

  12. RWTH Aachen University

    Affiliation as printed

    RWTH Aachen University, Aachen, Germany

    RWTH Aachen, University, Aachen, Germany

  13. Constructor University

    Affiliation as printed

    Jacobs University Bremen, Bremen, Germany

    Jacobs University Bremen,Bremen,Germany

  14. Tim Friede corresponding

    Universitätsmedizin Göttingen · University of Göttingen

    Affiliation as printed

    Department of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany

    University of Gottingen;

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References 181