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What Color is Your Swan? Uncertainty of Information Across Data

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Artificial Intelligence in HCI (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14051))

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Abstract

In 2007, Taleb coined the term “Black Swan” to describe those events that are extremely rare but unpredictable. However, if as Taleb states it is “our blindness with respect to randomness particularly large deviations” that is the issue, then how do we continue to understand these potential deviations and how do we adapt when they occur? Researchers continue to explore the area of uncertainty, how it is quantified, represented, and communicated. This paper is inspired by the concept of uncertainty and the association with the swans’ color as a means of expressing the uncertainty. In addition, this paper will discuss the concept of uncertainty of information, utilizing a taxonomy based on Gershon’s nature of imperfect information with a value. Firstly, we will explore existing associations made to different swan colors. Secondly, we will discuss how this concept can be modified relevant to uncertainty of information, and the challenges this idea presents such as risk and trust. Thirdly, we will explore applying a modified version of “uncertainty of information swan color” to a specific application.

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Correspondence to Adrienne Raglin .

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Raglin, A., Newcomb, A., Scott, L. (2023). What Color is Your Swan? Uncertainty of Information Across Data. In: Degen, H., Ntoa, S. (eds) Artificial Intelligence in HCI. HCII 2023. Lecture Notes in Computer Science(), vol 14051. Springer, Cham. https://doi.org/10.1007/978-3-031-35894-4_28

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  • DOI: https://doi.org/10.1007/978-3-031-35894-4_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35893-7

  • Online ISBN: 978-3-031-35894-4

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