Artificial Intelligence (AI) capabilities, trust and Open Source Software team performance

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Artificial Intelligence (AI) capabilities, trust and Open Source Software team performance

Thummadi, Babu Veeresh
Date: 2021-08-25
Copyright: © 2021, IFIP International Federation for Information Processing. Published by Springer Nature Switzerland AG. The final publication is available at Springer via: https://doi.org/10.1007/978-3-030-85447-8_52
Related: https://www.i3e2021.com/
Citation: Thummadi, B. V. (2021) 'Artificial Intelligence (AI) capabilities, trust and Open Source Software team performance', in Dennehy, D., Griva, A., Pouloudi, N., Dwivedi, Y. K., Pappas, I. and Mäntymäki, M. (eds) Responsible AI and Analytics for an Ethical and Inclusive Digitized Society. I3E 2021, National University of Ireland Galway, 1-3 September. Lecture Notes in Computer Science, vol 12896, pp. 629-640. Springer: Cham. doi: 10.1007/978-3-030-85447-8_52
Published Version: 10.1007/978-3-030-85447-8_52

Abstract:

In recent years, Artificial Intelligence (AI) has become a key element in digital platforms for improving performance. Despite vast body of knowledge it is yet unclear on how AI can be successfully integrated into platforms and what are the key mechanisms that drive the performance in digital platforms such as open source. To investigate this phenomena a survey has been conducted to understand how AI capabilities (i.e., capabilities associated with AI resources/usage) on Open Source Software (OSS) team performance. The analysis highlights the role of trust in driving OSS team performance and suggests that designers need to pay more attention to cognition when dealing with AI technologies and opportunities.

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