Call for proposals – Human-Centered AI Book

Call for proposals

Human-Centered AI: a Multidisciplinary Perspective for Policy-Makers, Auditors and Users

—————————— This call for proposal is now closed ——————————

The editorial committee would like to thank every author who has submitted a proposal. Further details about the next steps will be shared soon!

UPDATES – September 15th 2022 : Authors have now been informed of their successful submission and have been formally invited onboard. They are now expected to prepare the first draft of their chapter for the 25th of January 2023, after which they will meet in online-held developmental seminars, to discuss chapters and ensure a synergy amongst them. By the end of February 2023, authors will have gained some perspective and feedback from other contributors to resume writing their chapter and produce a final draft for the beginning of April 2023. Rounds of peer-review and corrections will be held before handing over the final manuscript by the end of May 2023.


The HAICU Lab (Human-Centered AI for/by Colleges and Universities Lab), a U7+ initiative comprised of 13 universities from across the globe, is launching a call for proposals to academics from the U7+ Alliance network who wish to contribute their unique and diverse perspectives in a book on the topic of Human-Centered AI (HCAI).

HCAI was selected as one of the core areas in which the U7+ wants to have an impact on universities and society. This book should therefore benefit from the support of the U7+, which should have an interest in endorsing and promoting it throughout its network and beyond.

The book will be published by Routledge’s Chapman & Hall/CRC Artificial Intelligence and Robotics Series in 2023. It will be available as an open access publication in 2024.

This book aims at providing a more solid understanding of the many meanings and normative components of HCAI, while emphasizing concrete examples and use cases to reveal HCAI practices, challenges, and opportunities across a wide range of sectors. Each section of the book will be supplemented by interviews with key institutional players to enrich the academic perspective of the book and encourage an interactive discussion between the emerging science of HCAI and views from regulators, developers and users in various spheres of activity.  

Proposals must fit within one of the three sections below:

1) A foundational and definitional section that will contain chapters that discuss and assess the many meanings of HCAI, as well as the main trends and approaches in the study of HCAI.

2) A section that will contain chapters that probe the potential and representations of HCAI among different groups and stakeholders, within various institutions (justice systems, health systems, higher education institutions, banking institutions, etc.) or from a meta-sectoral perspective like international organizations.

3) A section comprised of chapters on lessons learned and promising practices that should inform policy-making and policy innovation. These lessons’ and practices’ application would support the development and implementation of HCAI within the broad AI ecosystem. These chapters should thus have theoretical and practical implications.

This call is open to academics from all backgrounds, disciplines and sectors and welcomes a variety of perspectives and contexts from different regions of the world. Contributions must be scholarly informed and robust, yet accessible to a broader and concerned audience (thus, they should not solely target the academic community). 

Co-authorship (publication of a chapter by authors from various disciplines and contexts) is encouraged.

Interested contributors must send their proposed abstract (300 words) by May 31, 2022, and will receive a response in early July. 

Full texts will then have to be submitted by the beginning of 2023. Further details are coming.

Texts will be peer-reviewed and final approval of submitted texts will depend on this evaluation process. 

By submitting an abstract, contributors agree to participate in one or two developmental seminars to discuss the content of each chapter and take part in the intellectual journey of the overall project.

Manuscripts should be written in English with MS-Word and should be around 5000 words long. 

The book’s editors will be:

  • Maria Axente, PwC UK
  • Jean-Louis Denis, Université de Montréal
  • Atsuo Kishimoto, University of Osaka
  • Catherine Régis, Université de Montréal

To submit an abstract or for any question, please write to Frédérique Godin, project manager at the HAICU Lab, at the following email address: frgodin@haiculab.org.