Bio

Emre Bayamlıoğluis a researcher at the Tilburg Institute for Law, Technology, and Society (TILT) at Tilburg University, the Netherlands. He is also an external fellow of the Research Group on Law Science Technology & Society (LSTS) at Vrije Universiteit Brussels. Before joining TILT in 2015, he has participated in the foundation of the Istanbul Bilgi University IT Law Institute and worked as faculty member at Koç University Law School.His current research focuses on the transparency and contestability of automated decisions, and the possible legal impediments at the level of implementation. 

Recent publications

  1. Response on the draft ethical guidelines for trustworthy AI produced …

    Noorman, M. (Author), Keymolen, E. (Author), Schellekens, M. (Author), de Groot, A. (Author), de Conca, S. (Author), Leenes, R. (Author), Zhao, B. (Author), Dalla Corte, L. (Author), Bayamlioğlu, E. (Author), Taylor, L. (Author), Pierce, R. (Author), & Coenmans, R. (Author). (2019). Response on the draft ethical guidelines for trustworthy AI produced by the European Commission’s High-Level Expert Group on Artificial Intelligence. Web publication/site https://www.tilburguniversity.edu/sites/default/files/download/NotesonHLEGDraftethicalguidelines_30012019_1.pdf
  2. Being profiled:Cogitas ergo sum - 10 years of profiling the European …

    Bayamlioglu, E., Hildebrandt , M., Baraluic, I., & Janssens , L. (Eds.) (2018). Being profiled:Cogitas ergo sum: 10 years of profiling the European citizen. AUP.
  3. Contesting automated decisions - A view of transparency implications

    Bayamlioglu, E. (2018). Contesting automated decisions: A view of transparency implications. EDPL, 4(4), 433-446.
  4. On the possibility of normative contestation of automated data-driven…

    Bayamlioglu, E. (2018). On the possibility of normative contestation of automated data-driven decisions. In E. Bayamlıoğlu, I. Baraluic, L. Janssens , & M. Hildebrandt (Eds.), Being profiled:Cogitas ergo sum: 10 years of profiling the European citizen (pp. 30-33). AUP.
  5. The 'rule of law' implications of data-driven decision-making - A tec…

    Bayamlioglu, E., & Leenes, R. (2018). The 'rule of law' implications of data-driven decision-making: A techno-regulatory perspective. Law, Innovation and Technology, 10(2), 295-313.

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