Current Research

My research focuses on the impact of Artificial Intelligence on audiences' experiences with Art. The core of the research explores how algorithmic curation through social media impacts perceptions and experiences with art. There are three pillars of work supporting the thesis: the importance of art metadata, the human experiences of viewing art in digital spaces, and the various re-designed potential futures.

Publications

  1. Thomas Serban Von Davier. 2023. Designing for Appreciation: How Digital Spaces Can Support Art and Culture. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA '23). Association for Computing Machinery, New York, NY, USA, Article 490, 1–5. https://doi.org/10.1145/3544549.3577041

  2. von Davier, T. Ş., Kollnig, K., Binns, R., Van Kleek, M., & Shadbolt, N. (2023). We Are Not There Yet: The Implications of Insufficient Knowledge Management for Organisational Compliance. arXiv preprint arXiv:2305.04061.

  3. Kollnig, K., Datta, S., Serban Von Davier, T., Van Kleek, M., Binns, R., Lyngs, U., & Shadbolt, N. (2023, June). ‘We are adults and deserve control of our phones’: Examining the risks and opportunities of a right to repair for mobile apps. In Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (pp. 22-34). PDF.

  4. Lee, H. P., Yang, Y. J., von Davier, T. S., Forlizzi, J., & Das, S. (2023). Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks. arXiv preprint arXiv:2310.07879.

In the News

  1. Henrique Fabretti Moraes & Maria Beatriz Previtali. 2024. "Shaping the future: A dynamic taxonomy for AI privacy risk". In the International Association of Privacy Professionals News. Article Link.

Presentations