University of Twente Student Theses
Breaking Down Barriers : Exploring The Motivations and Challenges in Adopting Responsible Data Annotation Practices of AI Developers
Koot, M.M.A. (2024) Breaking Down Barriers : Exploring The Motivations and Challenges in Adopting Responsible Data Annotation Practices of AI Developers.
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| Abstract: | The rise of machine learning has awoken a rising demand for outsourced data work. One of the main drivers behind AI development is the practice of AI annotation, a practice largely being outsourced to online labour platforms. Online work platforms are often already identified by their malpractices, and alternative approaches to outsourcing data annotation do exist. This report seeks to explain why organisations do not switch to data annotation services that, as first referred to in this report as Responsible Data Annotation, do take responsibility for the wellbeing of their employees. Based on the job characteristics model, this method was laid out and then utilizes the value proposition canvas to determine how it manages to achieve the expectations and requirements of AI developers. Through the use of interviews with experts in the field, this paper has gathered the necessary information to form the customer profile. Finally, this study provides an interpretation of the inter relationship between the value of RDA and the different customer profiles identified, thus exploring the motivations and challenges of AI developers in transitioning to RDA. |
| Item Type: | Essay (Bachelor) |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 85 business administration, organizational science |
| Programme: | International Business Administration BSc (50952) |
| Link to this item: | https://purl.utwente.nl/essays/100222 |
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