Over-Researched and Under-Resourced: The ELSA Approach to Transdisciplinary AI Research in Low-Trust Neighbourhoods

Nanou van Iersel*, Majsa Storbeck, Marlon Kruizinga, Michaël Grauwde

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

This paper discusses ELSA (Ethical, Legal, and Social Aspects of technology) as an emerging methodology for transdisciplinary AI research, characterized by anticipatory technology assessment through close collaboration with diverse (societal) stakeholders. We offer a methodological reflection based on a 1,5 year-long case study on public safety and AI in Lombardijen, a neighbourhood in Rotterdam, the Netherlands, where we engaged residents as citizen stakeholders. Lombardijen is paradoxically under-resourced, meaning historically neglected and stigmatized as a ‘problem district’, yet over-researched, i.e. scrutinized by countless researchers who engage in what has been called ‘drive-by’ research – driving by, extracting data, and disappearing, often without benefits for the community. The community’s ensuing alienation from governmental and academic institutions means that citizens’ valuable contextual knowledge is often overlooked in public deliberation on AI. This raises our research question: How can citizens in low-trust neighbourhoods be meaningfully and reciprocally engaged in transdisciplinary AI research, and what does an ELSA approach offer in this regard? The paper details our experiences in Lombardijen respectively from ethical, legal, social, and technological perspectives. We candidly discuss our learnings, (modest) successes and limitations, ultimately emphasizing the importance of situated responsibility as a precondition for transdisciplinary AI research.
Original languageEnglish
Title of host publicationArtificial Intelligence Research - 6th Southern African Conference, SACAIR 2025, Proceedings
EditorsAurona Gerber, Anban W. Pillay
Place of PublicationCham
PublisherSpringer
Pages557-574
Number of pages18
ISBN (Print)9783032117328
DOIs
Publication statusPublished - 2026
Event6th Southern African Conference for Artificial Intelligence Research, SACAIR 2025 - Cape Town, South Africa
Duration: 1 Dec 20255 Dec 2025

Publication series

NameCommunications in Computer and Information Science
PublisherSpringer
Volume2784 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference6th Southern African Conference for Artificial Intelligence Research, SACAIR 2025
Country/TerritorySouth Africa
CityCape Town
Period1/12/255/12/25

Bibliographical note

Green Open Access added to TU Delft Institutional Repository as part of the Taverne amendment. More information about this copyright law amendment can be found at https://www.openaccess.nl. Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • Artificial Intelligence
  • Citizen Engagement
  • Digital Technologies
  • ELSA
  • Neighbourhoods
  • Public Safety
  • Transdisciplinary Research

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