Decolonizing LLMs: An Ethnographic Framework for AI in African Contexts

This paper examines LLM deployment through African lenses that engage content's complex social, technological, and linguistic landscape. We propose an adaptable framework for LLM research based on an extensive synthesis of research literature and our primary research in Ethiopia, Ghana, Kenya, Nigeria, and South Africa. Our work unearths instances where LLMs could perpetuate digital colonialism or exacerbate existing sociopolitical tensions, as well as how they are contested and adapted. We emphasize the imperative for an embodied ethnographic approach that engages the inherently fluid, flexible, and multicultural nature of language, and connects LLM technologies with the complex social contexts in which it is built and deployed.

Authors

Institutions

Publication Details

Journal
Ethnographic Praxis in Industry Conference Proceedings
Published
2024-11-01
DOI
https://doi.org/10.1111/epic.12196
Citations
3
Primary Topic
Multimodal Machine Learning Applications
Type
article
Field-Weighted Citation Impact
0.36
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Decolonizing LLMs: An Ethnographic Framework for AI in African Contexts

CHRISTOPHER A. GOLIAS, Olivia Lucas, M. A. Lewis, LINDSEY DEWITT PRAT
3 citations
Ethnographic Praxis in Industry Conference Proceedings
Multimodal Machine Learning Applications
0.36
article

Decolonizing LLMs: An Ethnographic Framework for AI in African Contexts

CHRISTOPHER A. GOLIAS, Olivia Lucas, M. A. Lewis, LINDSEY DEWITT PRAT
article en
3 citations

Abstract

This paper examines LLM deployment through African lenses that engage content's complex social, technological, and linguistic landscape. We propose an adaptable framework for LLM research based on an extensive synthesis of research literature and our primary research in Ethiopia, Ghana, Kenya, Nigeria, and South Africa. Our work unearths instances where LLMs could perpetuate digital colonialism or exacerbate existing sociopolitical tensions, as well as how they are contested and adapted. We emphasize the imperative for an embodied ethnographic approach that engages the inherently fluid, flexible, and multicultural nature of language, and connects LLM technologies with the complex social contexts in which it is built and deployed.

Ethnographic Praxis in Industry Conference ProceedingsVol. 2024(1)
Google (United States) (US), Film Independent (US)
Openalex Percentile: Top 52%
Multimodal Machine Learning Applications
0.36
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Decolonizing LLMs: An Ethnographic Framework for AI in African Contexts — CHRISTOPHER A. GOLIAS, Olivia Lucas, et al. · Ethnographic Praxis in Industry Conference Proceedings (2024) | TGRS Research Map | TGRS