2024
DOI: 10.3233/sw-233407
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Data journeys: Explaining AI workflows through abstraction

Abstract: Artificial intelligence systems are not simply built on a single dataset or trained model. Instead, they are made by complex data science workflows involving multiple datasets, models, preparation scripts, and algorithms. Given this complexity, in order to understand these AI systems, we need to provide explanations of their functioning at higher levels of abstraction. To tackle this problem, we focus on the extraction and representation of data journeys from these workflows. A data journey is a multi-layered … Show more

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Cited by 5 publications
(2 citation statements)
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“…Although the term 'data journeys' has been used in various literatures (Bates et al, 2016;Daga & Groth, 2023), we adopt the conceptualization outlined by Sabina Leonelli and colleagues Leonelli, 2016;Leonelli & Tempini, 2020). In this view, data journeys are composed of a "myriad of techniques, efforts, instruments, infrastructures and institutions used to mobilize and process data" (Leonelli & Tempini, 2020, p. v); these elements work together to help data to travel across space, time, and social contexts.…”
Section: Conceptual Framework: Data Journeys and The Popularization O...mentioning
confidence: 99%
“…Although the term 'data journeys' has been used in various literatures (Bates et al, 2016;Daga & Groth, 2023), we adopt the conceptualization outlined by Sabina Leonelli and colleagues Leonelli, 2016;Leonelli & Tempini, 2020). In this view, data journeys are composed of a "myriad of techniques, efforts, instruments, infrastructures and institutions used to mobilize and process data" (Leonelli & Tempini, 2020, p. v); these elements work together to help data to travel across space, time, and social contexts.…”
Section: Conceptual Framework: Data Journeys and The Popularization O...mentioning
confidence: 99%
“…In the paper 'Data journeys: explaining AI workflows through abstraction' by Enrico Daga and Paul Groth [6], the authors focus on the extraction and representation of data journeys from data science workflows involving multiple datasets, models, preparation scripts, and algorithms. A data journey is a multi-layered semantic representation of data processing activities linked to data science code and assets that provide a high level of abstraction.…”
Section: Contributionsmentioning
confidence: 99%