Open Data; Artificial Intelligence; Research Data Management; Publication biases
Abstract :
[en] The application of open and FAIR data principles remains a challenge to this day. Besides the technical challenge that those new work habits represent, biases in research, such as a positivity bias or a global north bias, cannot be properly addressed by open data alone. When those datasets end up as training material for AI R&D, they provide a skewed picture of reality that prevents AI developments from being completely trustworthy. What can research stakeholders do to address those biases in open data?
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Biernaux, Judith ; ULiège. RISE - Université de Liège. Recherche, Innovation, Support et Entreprises
Language :
English
Title :
Can AI, Data and Robotics Research be Open and Accessible to All? Exploring the challenges From the perspective of open research data management
