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Hao Wang

Institute
University of Amsterdam
Wageningen University & Research
Faculty
Department of social sciences
Section
Communication, philosophy and technology
Position
Post-doc

Profile

Hao Wang is a Postdoc Researcher in the ELSA (Ethical, Legal and Societal Aspects of AI) Lab at Wageningen University & Research. He’s working on an innovative ELSA approach to whip up AI technologies for sustainable agriculture that are not only deliciously smart but also following the ethical, legal and societal rules shared by academia, government, business and civil society. 

Publications

1.     Wang, H. (2026). Are We Still Sleepwalking? Rethinking Technological Somnambulism in the Age of AI. In Arrangements of Power: Tracing Langdon Winner’s Legacy Within and Beyond the Philosophy of Technology. Springer Nature.

2.     Wang, H. & Blok, V. (2026). ELSA Labs as a method to study AI-based systems at the micro, meso, and macro levels. In S. S. Gouveia (Ed.), The Palgrave handbook on the ethics of artificial intelligence. Palgrave Macmillan.

3.     Wang, H., & Blok, V. (2025). Why putting artificial intelligence ethics into practice is not enough: Towards a multi-level framework. Big Data & Society, 12(2): 1-14. https://doi.org/10.1177/20539517251340620 (Impact Factor: 5.9; CiteScore: 11.2)

4.     Wang, H., Blok, V. & Van Hilten, M. (2025). ELSA Labs for responsible AI: A novel approach for addressing ethical, legal, and social issues. Journal of Responsible Innovation. https://doi.org/10.1080/23299460.2025.2563944 (Impact Factor: 4.1; CiteScore: 7.3)

5.     Wang, H, Ryan, M. and Blok, V. (2025). Teaching Structural AI Ethics: The Design and Testing of an ELSA Education Intervention, in Philipp Hacker (ed.), Oxford Intersections: AI in Society (Oxford, online edn, Oxford Academic), https://doi.org/10.1093/9780198945215.003.0008

6.     Sax, M., & Wang, H. (co-first author) (2025). From threat to opportunity: Gaming the algorithmic system as a service. Internet Policy Review, 14(2). https://doi.org/10.14763/2025.2.2007 (Impact Factor: 3.2; CiteScore: 8.2)

7.     Ryan, M., de Roo, N., Wang, H. et al. (2024). AI through the looking glass: an empirical study of structural social and ethical challenges in AI. AI & Society, 1-17. https://doi.org/10.1007/s00146-024-02146-0 (Impact Factor: 4.7; CiteScore: 9.8)

8.     Wang, H. (2023). Algorithmic Colonization of Love: The Ethical Challenges of Dating App Algorithms in the Age of AI. Techné: Research in Philosophy and Technology. 27(2), 260-280. https://doi.org/10.5840/techne202381181 (Impact Factor: 0.8; CiteScore: 1.3)

9.     Wang, H. (2023). Why Should We Care About The Manipulative Power of Algorithmic Transparency? Philosophy & Technology. 36(9): 1-6. https://doi.org/10.1007/s13347- 023-00610-1 (Impact Factor: 5.2; CiteScore: 11.4)

10.  Wang, H. (2022). Transparency as Manipulation? Uncovering the Disciplinary Power of Algorithmic Transparency. Philosophy & Technology. 35(69): 1-25. https://doi.org/10.1007/s13347-022-00564-w (Impact Factor: 5.2; CiteScore: 11.4)

11.  Wang, H. (PhD Dissertation 2022). Algorithmic Colonization: Automating Love and Trust in the Age of Big DataUvA-DARE (Digital Academic Repository) https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4311017.

12.  Liu, Y.M., & Wang, H. (2018). Zhuangzi’s Ecological Politics: An Integration of Humanity, Nature, and Power. Environmental Ethics, 40(1), 21-39. (Impact Factor: 1.1; CiteScore: 1.3)

13.  Lim, D., & Wang, H. (2014). Can Mary’s Qualia Be Epiphenomenal? Res Philosophica, 91(3), 503-512. (Impact Factor: 0.4; CiteScore: 0.7)