AI for whom and by whom? Cultural bias and the institutional and social shaping of large language models

CFP
Journal
online
SUBMISSION DEADLINE
30/04/2026
JOURNAL
Technological Forecasting and Social Change
PUBLISHER
Elsevier
GUEST EDITORS
Beatrice Orlando, Marcus Wagner, Janet Rafner, Thierry Burger-Helmchen
POSTED ON
11/04/2026

DETAILS

Call for Papers

AI for whom and by whom? Cultural bias and the institutional and social shaping of large language models

Journal: Technological Forecasting and Social Change
Publisher: Elsevier
Submission Opens: 1 September 2026
Manuscript Submission Deadline: 30 April 2027

Introduction
Large language models (LLMs) embed Western cultural biases through English-centric datasets and concentrated innovation ecosystems, raising concerns about digital colonialism and knowledge extractivism in the Global South. This Special Issue examines LLMs as socio-technical systems shaped by governance, regional AI ecosystems, university-industry collaborations, and their implications for legitimized knowledge and global power asymmetries.

Guest Editors
Beatrice Orlando (Beatrice.orlando@unife.it)
Marcus Wagner (marcus.wagner@uni-a.de)
Janet Rafner (jraf@sam.sdu.dk)
Thierry Burger-Helmchen (burger@unistra.fr)

List of Topic Areas
Submissions invited on:

  • Cultural/linguistic biases in LLM training data and deployment

  • Digital colonialism, knowledge extractivism affecting Global South

  • Comparative regional LLM ecosystems (US, EU, China, Global South)

  • University roles in LLM research, open models, industry collaborations

  • Governance frameworks addressing cultural pluralism in AI

  • Participatory foresight/co-design for socially accountable LLMs

Guest Editors Contact Details

Name

Institution

Email

Beatrice Orlando

University of Ferrara

Beatrice.orlando@unife.it

Marcus Wagner

University of Augsburg

marcus.wagner@uni-a.de

Janet Rafner

University of Southern Denmark

jraf@sam.sdu.dk

Thierry Burger-Helmchen

University of Strasbourg

burger@unistra.fr

Submission Process & Deadlines
Submit via Editorial Manager at https://www2.cloud.editorialmanager.com/tfs/default2.aspx, selecting "VSI: AI for whom by whom".

Submission Guidelines
Guide for Authors: https://www.sciencedirect.com/journal/technological-forecasting-and-social-change/publish/guide-for-authors

About the Journal
Technological Forecasting and Social Change (Impact Factor 13.3, CiteScore 26.3) leads research on technology evolution, innovation systems, and societal impacts.

Guest Editors: Beatrice Orlando, Marcus Wagner, Janet Rafner, Thierry Burger-Helmchen

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