Exploring the responsible AI gap through the lens of theory of planned behavior
No Thumbnail Available
Journal Title
Journal ISSN
Volume Title
School of Business |
Master's thesis
Author
Date
2024
Department
Major/Subject
Mcode
Degree programme
Information and Service Management (ISM)
Language
en
Pages
78+4
Series
Abstract
There can be limited responsible AI implementation without understanding the determinants of responsible AI behaviour. This is the first study to investigate whether a responsible AI gap exists between the attitudes and intentions and their real-world behaviour of ML/AI developers. Furthermore, it aims to uncover what factors contribute to responsible AI behaviour, or the lack thereof, using the Theory of Planned Behaviour. Twelve semi-structured interviews were conducted to investigate the attitudes, subjective norms, perceived behavioral control and intentions toward responsible AI behavior of AI/ML developers. Responses were coded and thematically analysed through the constructs of the Theory of Planned Behaviour. The study found that while there is generally positive attitudes towards responsible AI, a gap emerged when it comes to actual consistent implementation and willingness to allocate tangible resources or time towards this endeavor. Various perceived behavioral control and subjective norms factors such as the lack of knowledge, time constraints, budget limitations, constrained authority, lack of adequate support and resources, managerial pressures, and a lack of sense of personal responsibility emerged as the most important to address in promoting responsible AI within organizationsDescription
Thesis advisor
Koskinen, KariKeywords
artificial intelligence, responsible AI, theory of planned behaviour, AI ethics, qualitative, behavioural gap, AI, TPB
