Abeona-ENS-OBVIA Chair | Call for Contribution for a Collective Book

This collective book is part of the work of the Abeona-ENS-OBVIA Chair and will aim to propose a renewed and multidisciplinary reflection on the issues of artificial intelligence uses from a social justice perspective.

The book will assemble around 20 texts from researchers from all disciplines. As an indication, these texts could address the following themes:

  • Digital colonization and decolonization
  • AI and data activism
  • AI and marginalized groups
  • Representation in data sets and algorithmic processing
  • Racial Bias and Discrimination in AI
  • Power relations and AI
  • Datafication of under-represented groups
  • Indigenous Peoples and IA
  • Digital agency of civil society
  • Consultation and participation of the civil society and AI
  • AI and Design Justice
  • Human Rights and AI
  • AI and civil, political and social rights
  • Regulatory Frameworks and Alternatives to the AI Ethics Paradigm
  • Groups and populations affected by AI uses
  • Capacitation and empowerment by AI
  • AI, digital sovereignty
  • Common, Open Science and AI


  • 11/09/2020: Call for papers for Book manuscripts
  • 02/08/2021: Submission Deadline of expression of interest proposals due
  • 03/01/2021: authors notified of their proposal
  • 09/30/2021: Full manuscripts /chapter due
  • 11/25/2021: Review proposals and authors notified
  • 01/06/2022: Revised chapter by the authors
  • Spring 2022: Publication and official launch of the book


Authors are invited to submit a proposal containing the following information:

  • Author’s name and affiliation;
  • Author’s contact information;
  • 3 to 5 keywords;
  • Chapter proposal (between 1500 and 2000 words), including problem statement, presentation of the subject, summary outline, five bibliographical references (12 pt. font, normal spacing, double-spaced);Contributions submitted by students or early-stage researchers are welcome.


This content has been updated on 11 February 2021 at 10 h 05 min.