Julian Posada

Orcid: 0000-0002-3285-6503

According to our database1, Julian Posada authored at least 15 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Dissecting Subjectivity and the "Ground Truth" Illusion in Data Annotation.
CoRR, February, 2026

The Consensus Trap: Dissecting Subjectivity and the "Ground Truth" Illusion in Data Annotation.
Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 2026

The Racial Character of Computer Graphics Research.
Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 2026

2025
AI Governance and the Fundamentals of Data: The Relational, Political, and Material.
SIGCAS Comput. Soc., 2025

AI x Crisis: Tracing New Directions beyond Deployment and Use.
Proceedings of the Adjunct Proceedings of the Sixth Decennial Aarhus Conference: Computing X Crisis, 2025

2024
Factors influencing trust in algorithmic decision-making: an indirect scenario-based experiment.
Frontiers Artif. Intell., 2024

Deeply embedded wages: Navigating digital payments in data work.
Big Data Soc., 2024

The Human Factor in AI Red Teaming: Perspectives from Social and Collaborative Computing.
Proceedings of the Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing, 2024

2022
Documenting Data Production Processes: A Participatory Approach for Data Work.
Proc. ACM Hum. Comput. Interact., 2022

Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power?
Proc. ACM Hum. Comput. Interact., 2022

The Data-Production Dispositif.
Proc. ACM Hum. Comput. Interact., 2022

2021
Wisdom for the Crowd: Discoursive Power in Annotation Instructions for Computer Vision.
CoRR, 2021

We Haven't Gone Paperless Yet: Why the Printing Press Can Help Us Understand Data and AI.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

The Coloniality of Data Work in Latin America.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
The Future of Work Is Here: Toward a Comprehensive Approach to Artificial Intelligence and Labour.
CoRR, 2020


  Loading...