Skip to content
CALBISPRESS / SCHOLARLY PUBLISHING

Independent scholarship.
Connected perspectives.

Search books & chapters ↗

CALBISPRESS BOOK SERIES / AI AND DECISION MAKING

Calbis Studies inAI and
Decision Making.

Understanding intelligent systems.
Keeping human judgement in view.

Interdisciplinary research on how artificial intelligence changes decisions, responsibility and human agency.

THE SERIES AT A GLANCE

Human–AI collaboration

Judgement & agency

Responsible decisions

CONTRIBUTE TO THE CONVERSATION

Your next chapter
could start here.

Explore the collection, meet its editors
and find the right home for your research.

FORTHCOMING / EDITED COLLECTIONJudgement, Agency and AI book cover
Call for chapters open

Judgement, Agency and AI

Decision Making and Responsibility in Organisations

As artificial intelligence enters organisational decisions, questions of judgement and responsibility become more pressing. This edited collection explores how people and intelligent systems shape decisions together, and what meaningful human agency requires in AI-enabled organisations.

Human–AI collaborationDecision qualityTrust & explainabilityAlgorithmic adviceAgency & accountabilityAI governance
Full chapter deadline
31 December 202623:59 Türkiye time (UTC+3)
Expected publication
April 2027Subject to review and production

Select “Judgement, Agency and AI” as your Target Book in the submission form.

THE GROWING COLLECTION

Books in the series.

Browse published books ↗
Judgement, Agency and AI

FORTHCOMING BOOK / APRIL 2027

Judgement, Agency and AI

Decision Making and Responsibility in Organisations

Explore this book ↗

Forthcoming publication dates depend on completion of peer review and production.

ABOUT THE SERIES

How decisions change.
Where responsibility lies.

Bring a new book to the series ↗

This series examines how artificial intelligence reshapes judgement, agency and decision processes in organisations and society. Its scope includes human–AI collaboration, algorithmic advice, decision quality, trust, explainability, accountability and governance. Interdisciplinary contributions should connect technological developments with their behavioural, organisational or ethical implications, rather than address computational performance alone.

For researchers and practitioners connecting artificial intelligence with behavioural, organisational and ethical questions.

Human–AI collaborationDecision qualityTrust & explainabilityAlgorithmic adviceAgency & accountabilityAI governance

THE EDITORIAL COMMUNITY

Meet the book editors.

Book editors for the collections
in this series.

BOOK EDITOR

Selim Zaim

Ibn Haldun University · Türkiye

Selim Zaim is a professor at Ibn Haldun University whose academic background spans engineering, production and operations management. His work in big data and business analytics connects quantitative approaches with organisational decision-making, providing a perspective on the relationship between analytical tools and management.

University profile ↗

BOOK EDITOR

Mustafa Alper Özpınar

Ibn Haldun University · Türkiye

Mustafa Alper Özpınar is an associate professor at Ibn Haldun University. His interests include machine learning, deep learning, digital transformation, smart cities and sustainable technologies. His multidisciplinary engineering background is complemented by experience in research, consultancy and technology project management.

University profile ↗

PUBLISH WITH CALBISPRESS

From a strong idea
to a scholarly contribution.

A NEW QUESTION. A NEW COLLECTION.

What should we
explore next?

Propose an edited book that brings fresh perspectives to aI and Decision Making.