'Do you feel in charge?' Underlying assumptions behind legal information retrieval
Speaker: Jakub Harašta, Masaryk University, Brno, Faculty of Law, Institute of Law and Technology
Time: Thursday, 17 February 2022, 10:00 AM CET
Artificial Intelligence and Machine Learning are concepts that influence and likely will influence the way we search for legal information. However, the way lawyers retrieve and consume information is rigged with assumptions on what is relevant and useful. Additionally, users might have preferences for their individual or group (judges, attorneys, students). How to present these data to users? How do we communicate these assumptions? Where do they come from? And is it necessary to be completely transparent?Ultimately, I make a case for the need for data feminism. I suggest that intersectional feminism can reorient the way we think about and manage algorithmic data in healthcare; and challenge and change the differentials of power that influence the dynamics of bias and under-representation.
Registration: https://forms.gle/37Yf9A8L48YuZzms7
The seminar will be broadcasted via Zoom application. Participation is subject to prior registration. The Zoom link of the event will be sent to registered participants via email.
Dr Jakub Harašta is an assistant professor at the Institute of Law and Technology, Faculty of Law, Masaryk University. His research focuses on cybersecurity and legal informatics. He graduated in law (master and doctoral degrees) and security studies (master degree). He was visiting research fellow at Minerva Center for the Rule of Law under extreme conditions (University of Haifa, 2015) and visiting postdoctoral fellow at the Center for Cyber Law & Policy (University of Haifa, 2018). His short-term research stays include Exeter Law School (UK), NATO Cooperative Cyber Defence Centre of Excellence (Estonia), and Max-Planck-Institut zur Erforschung von Gemeinschaftsgütern (Germany).
Contact: Kitti Mezei mezei.kitti@tk.hu
Information about the seminar series: Marton Varju varju.marton@tk.hu