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Julian Posada

University of Toronto

10 papers hereh-index 8406 citations18 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author3
  • first author1
  • middle author4
  • last author2

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CY4
  • cs.HC4
  • cs.AI1
  • cs.CV1
affiliations
  • University of Toronto
Homepage
same name
  • Julian Posada — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedStudying Up Machine Learning Data: Why Talk About Bias When We Mean Power?

26 citations · 86 across the 9 of their papers we have counts for

collaborators
Showing 2026Show all

2 papers · 1 filter

cs.CY2026

Digital Labor Platforms as Infrastructure of Extractivism

Julian Posada

This chapter examines how digital platforms, as infrastructures of extractivism in contemporary artificial intelligence, enable corporations to appropriate data and labour while co…

cs.AI2026

The Consensus Trap: Dissecting Subjectivity and the "Ground Truth" Illusion in Data Annotation

Sheza Munir, Benjamin Mah, Krisha Kalsi +5

In machine learning, "ground truth" refers to the assumed correct labels used to train and evaluate models. However, the foundational "ground truth" paradigm rests on a positivisti…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.