Shan Wang
About
I am a PhD candidate at the department for interdisciplinary cultural studies. I study AI applications in labor market, exploring the bias issues in the context of Human Resources Management in the Horizon Europe project entitled BIAS Mitigating Diversity Biases of AI in the Labor Market.
My research investigates the interaction among developers, users, and digital artefacts, including specific AI applications, the usage of these applications, and the power dynamics in the network of humans and digital technology. One of my major concerns is the bias issue that appears during the mediation, interpretation, and negotiation among actors, and I will thus identify and analyze the sociotechnical bias.
Academic background
I have an interdisciplinary background in media studies and communication, intellectual property law, and anthropology. I received my master’s degree from University College London, where I majored in digital anthropology. My master thesis was a digital ethnography on the intimate relationship among AI chatbot Replika, users and developers.
Research Interests
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Digitalization of society
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Feminist technoscience
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Digital culture
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Digital labour studies
Please contact me if you have any questions or suggestions for my work, thank you.
Publications
2025
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Sandvik, Frida Englund;
Ecclesia, Silvia;
Wang, Shan;
Puttick, Alexandre;
Walawski, Jan Jakub.
(2025)
The Hiring Black Box.
Exhibition
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Wang, Shan;
Ask, Kristine.
(2025)
Editorial: Care, collaboration and AI
| Nordic Journal of Science and Technology Studies.
Nordic Journal of Science and Technology Studies
Editorial
2024
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Ask, Kristine;
Moratti, Sofia;
Arntsen, Kim-Andre Myhre;
Wang, Shan;
Kristiansson, Nora Lovise Erika;
Nygaard, Birgitte.
(2024)
Editorial. Celebrating Young Scholars.
Nordic Journal of Science and Technology Studies
Editorial
Journal publications
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Wang, Shan;
Ask, Kristine.
(2025)
Editorial: Care, collaboration and AI
| Nordic Journal of Science and Technology Studies.
Nordic Journal of Science and Technology Studies
Editorial
-
Ask, Kristine;
Moratti, Sofia;
Arntsen, Kim-Andre Myhre;
Wang, Shan;
Kristiansson, Nora Lovise Erika;
Nygaard, Birgitte.
(2024)
Editorial. Celebrating Young Scholars.
Nordic Journal of Science and Technology Studies
Editorial
Artistic productions
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Sandvik, Frida Englund;
Ecclesia, Silvia;
Wang, Shan;
Puttick, Alexandre;
Walawski, Jan Jakub.
(2025)
The Hiring Black Box.
Exhibition
Outreach
2025
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Conference lectureEcclesia, Silvia; Wang, Shan; Søraa, Roger Andre. (2025) “The bias of thinking you’re unbiased” – attribution of bias in human-AI interaction for recruitment and its impact on trust. Artificial Intelligence, Politics and Societies
2024
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InterviewWang, Shan; Ask, Kristine; Kristiansson, Nora Lovise Erika. (2024) A pragmatic approach to building a field and doing STS Interview with professor emeritus Knut H. Sørensen.
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Conference lectureWang, Shan. (2024) Ethic valuation and agency distribution in AI-powered human resource management. STS Graz
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Conference lectureWang, Shan; Ecclesia, Silvia; Søraa, Roger Andre. (2024) Transmitting Expertise: Delegation between humans and non-humans in AI-based worker recruitment. Swedish STS conference
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Conference lectureWang, Shan. (2024) (Repositioning) AI as trickster in hiring process for bias mitigation. European Group for Organizational Studies Colloquium
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Conference lectureWang, Shan; Ecclesia, Silvia; Søraa, Roger Andre. (2024) AI and ghost work in hiring processes: analyzing sociotechnical transformations in contemporary recruitment processes. EASST-4S conference
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Conference posterWang, Shan; Ecclesia, Silvia; Díaz, Xavier Sánchez; Søraa, Roger Andre; Øztürk, Pinar. (2024) Investigating the Ethical Dimensions of AI: An Interdisciplinary Approach Combining CBR and “It Could be Otherwise”. NorwAI Innovate Conference 2024
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InterviewAsk, Kristine; Wang, Shan; Kristiansson, Nora Lovise Erika. (2024) A pragmatic approach to building a field and doing STS Interview with professor emeritus Knut H. Sørensen.
2023
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LectureWang, Shan; Søraa, Roger Andre. (2023) BIAS first co-creation workshop: discussion on BIAS at work. Co-creation workshop on BIAS at work