University of Twente Student Theses
Fair design and deployment of machine learning algorithms on online labor platforms : What do managers do? : a qualitative study.
Penkov, Ellen (2023) Fair design and deployment of machine learning algorithms on online labor platforms : What do managers do? : a qualitative study.
|
PDF
711kB |
| Abstract: | While the widespread adoption of algorithms on online labor platforms offers numerous benefits such as facilitating the efficient matchmaking of gig workers to clients, the potential harmful effects and uses such as bias-amplification and micro-management of workers remain relatively overlooked. Acknowledging the human influence at the core of each algorithm, this study seeks to gain an in-depth understanding of the individuals that are involved in decision-making surrounding algorithms on online labor platforms. By having conducted semi-structured interviews with platform managers, this exploratory research seeks to contribute to existing literature by providing insightful findings on how decisions are made, the motivations behind them as well as the practices used to ensure fair algorithms. This study revealed that managers are aware of algorithmic as well as societal biases on platforms and take various proactive approaches to mitigate the occurring biases. Moreover, the findings showed that despite the limited use of technical fairness tools and frameworks in algorithm development, managers made a significant effort in ensuring platform fairness and showed general accountability for ensuring the fair design of algorithms. Overall, the findings highlight the complex nature of managing algorithmic fairness and underscore the need for further research and practical considerations in this area. |
| 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/95638 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
Show download statistics for this publication
Show download statistics for this publicationRepository Staff Only: item control page