Technology and the gender gap in news

Author: Maite Taboada (Simon Fraser University)

Abstract: The presentation provides a detailed view of possible technological approaches to measure representation. It highlights the challenges and pitfalls of modern AI tools, particularly in terms of their biases and inaccuracies. The discussion focuses on the development of tools capable of analyzing data in multiple languages, addressing the need for more inclusive and global solutions. Additionally, the presentation examines whether it is possible to measure other forms of representation using language data. Finally, it outlines key outcomes and opportunities, discussing what can be effectively changed through improved measurement and what limitations remain despite these advancements.

Host: Isabell Welpe

The presentation is part of the following research seminar of the Chair for Strategy and Organization, Univ.-Prof. Dr. Isabell M. Welpe:

When: 17.03. 9:00-12:00 (english)

Where: ,  Main campus TU Munich Building 0505, Room Nummer 2553

How to find us: corner Theresienstraße/Luisenstraße (please enter through the dark doors on the right and take the elevator/stairs to the 2nd floor, then leave staircase to the right)