The Power of Absence: Thinking with Archival Theory in Algorithmic Design

AI Ethics, Fairness & AccountabilityAlgorithmic Fairness & BiasHCI ResearchersSociologists & Anthropologists

This paper explores the value of archival theory as a means of grappling with bias in algorithmic design. Rather than seek to mitigate biases perpetuated by datasets and automated systems, archival theory offers a reframing of bias itself. Drawing on a range of archival theory from the fields of history, literary and cultural studies, Black studies, and feminist STS, we propose absence—as power, presence, and productive—as a concept that might more securely anchor investigations into the causes of algorithmic bias, and that can prompt more capacious, creative, and joyful future work. This essay, in turn, can intervene into the technical as well as the social, historical, and political structures that serve as sources of bias.

Quick Actions

Share

Share this page

ios_share

https://hci.top/en/papers/dis/164376/2024

AdRecommended

Learn AI Coding at CodeNow

At a Glance

Paper Snapshot

fact_check
dataset
Source
DIS
calendar_month
Year
2024
emoji_events
Award
No award tagged
group
Authors
4 authors
sell
Subtopics
AI Ethics, Fairness & Accountability, Algorithmic Fairness & Bias
work
Professions
HCI Researchers, Sociologists & Anthropologists
article
Content Status
Abstract only
hub
Related Papers
10 related papers