Can AI, Data and Robotics Research be Open and Accessible to All? Exploring the challenges From the perspective of open research data management
Year: 2024
Type: conference-paper
Abstract: 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?
Source: ORBi (University of Liège)
Author: Biernaux, Judith
Institution: University of Liège
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Reduced inequalities
Open Access status: green
OpenAlex ID: W6989671059
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