ARTICLES

EMPIRICAL

ACM Fairness, Accountability, and Transparency (2023)

Towards Labor Transparency in Situated Computational Systems Impact Research
A framework for documenting divisions of labor within participatory research, design, and data practices. Co-authored with Sara E. Berger and Juana C. Becerra. *Finalist for Most Impactful Research Paper of 2023, Responsible AI Institute.

ACM Computer Supported Work and Social Computing (2024)

Designing for Agonism: 12 Workers’ Perspectives on Contesting Technology Futures
Findings from pilot studies of practical methods and tools for non-expert participation AI research, design, and development. Co-authored with 11 others.

ACM Journal of Responsible Innovation (2025)

Opportunities and Challenges of Multidisciplinary Algorithmic Impact Assessments.
Methodological insights from the experimental use of multidisplinary, multi-modal methods in AI assessments, evaluations, and audits. Co-authored with Juana C. Becerra, Adriana Alvarado Garcia, Sara E. Berger, Heloisa Candello, and Caitlin Lustig.

For a full list of Felicia's technical, empirical research see her ACM Digital Library Profile