Agathe Balayn
Scholar

Agathe Balayn

Google Scholar ID: 6St85n0AAAAJ
Postdoctoral researcher, Microsoft Research
Machine learningAI harmAI production practicesAI policyAI supply chains
Citations & Impact
All-time
Citations
795
 
H-index
13
 
i10-index
16
 
Publications
20
 
Co-authors
24
list available
Resume (English only)
Background
  • Postdoctoral researcher in Computer Science and Human-Computer Interaction at the Fairness, Accountability, Transparency, and Ethics in AI (FATE) group, Microsoft Research, New York City.
  • Research focuses on uncovering societal harms from deploying machine learning (ML) systems, understanding their root causes, and envisioning remedies.
  • Particularly interested in characterizing ML supply chains and developing practical tools and policy solutions for ML practitioners.
  • Employs social, organizational, and political-economic lenses informed by technical realities through in-depth qualitative studies in ML production and deployment environments.
  • Primarily studies ML systems using image data (computer vision) or tabular data for classification or regression tasks.
  • Uses mixed methodologies including empirical studies, method/tool development, literature surveys, and policy reflections.