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Friedrich, Sarah [Author]; Antes, Gerd [Author]; Behr, Sigrid [Author]; Binder, Harald [Author]; Brannath, Werner [Author]; Dumpert, Florian [Author]; Ickstadt, Katja [Author]; Kestler, Hans A. [Author]; Lederer, Johannes [Author]; Leitgöb, Heinz [Author]; Pauly, Markus [Author]; Steland, Ansgar [Author]; Wilhelm, Adalbert [Author]; Friede, Tim [Author]

Is there a role for statistics in artificial intelligence?

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  • Media type: Text; E-Article
  • Title: Is there a role for statistics in artificial intelligence?
  • Contributor: Friedrich, Sarah [Author]; Antes, Gerd [Author]; Behr, Sigrid [Author]; Binder, Harald [Author]; Brannath, Werner [Author]; Dumpert, Florian [Author]; Ickstadt, Katja [Author]; Kestler, Hans A. [Author]; Lederer, Johannes [Author]; Leitgöb, Heinz [Author]; Pauly, Markus [Author]; Steland, Ansgar [Author]; Wilhelm, Adalbert [Author]; Friede, Tim [Author]
  • Published: Universität Ulm, 2021-08-06
  • Language: English
  • DOI: https://doi.org/10.18725/OPARU-50884
  • Keywords: Design ; Data Science ; Big Data ; Auslese ; Artificial intelligence ; LEARNING ALGORITHM ; Künstliche Intelligenz ; MODELS ; Neural networks (Computer science) ; Science ; Scale ; CAUSAL INFERENCE ; VALIDITY ; Machine learning ; Statistics ; Neuronales Netz ; SELECTION ; Statistik ; Maschinelles Lernen
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  • Description: 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.
  • Access State: Open Access
  • Rights information: Attribution (CC BY)