Shaping Tomorrow

The Human Journey with AI
1. Auflage 2026
ISBN: 978-1-041-04033-0
Verlag: Taylor & Francis Ltd

Buch, Englisch, 346 Seiten, Format (B × H): 156 mm x 234 mm

Every major technological regime in human history has reorganised not only how societies produce but how they think, govern, and define what it means to be human. Artificial intelligence is no exception. What sets it apart is the speed, scale, and intimacy with which it is penetrating the epistemic and institutional fabric of contemporary life.

Shaping Tomorrow: The Human Journey with AI draws on voices from four continents to confront this transformation at its roots. The volume's intellectual foundation is a sustained editorial argument that situates AI within the longue durée of techno-scientific change, theorising the present moment as the emergence of a new computational civilisation. From this foundation, contributors examine in depth how AI is reshaping education and pedagogy, where questions of critical knowing, personalisation, and the ethics of keeping humans in the loop are explored with particular rigour. Parallel chapters investigate AI's growing role in healthcare, patient welfare, and assistive technologies, while further contributions address algorithmic bias in consumer markets, data privacy governance, and the structural forces driving algorithmic injustice. An interview with philosopher Professor Nick Bostrom adds a distinctive forward-looking perspective on superintelligence and existential risk.

What distinguishes this volume is its refusal to settle for either techno-optimism or deterministic alarm. The editors and contributors instead equip readers with the conceptual precision and analytical frameworks needed to engage with AI as a contested space where political economy, technological possibility, and ethical obligation converge. For scholars, postgraduate students, and professionals confronting a world increasingly governed by algorithmic mediation, this book does not merely describe the landscape. It sharpens the capacity to act within it.

Zielgruppe

Professional Practice & Development, Professional Reference, and Undergraduate Advanced

Autoren/Hrsg.

Rana, Vishal

Azeez, Govand Khalid

Parker, Ray

Nankervis, Alan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein Soziale und ethische Aspekte der EDV

Inhaltsverzeichnis

1. The Human Journey with AI 2. An Interview with Professor Nick Bostrom 3. Artificial Intelligence and the Traumatisation of Human Culture 4. Challenge as a Way of Knowing: Education for Critical Knowing in the Era of AI 5. AI and Education: An Interdisciplinary, Collaborative Approach 6. The Promise and Challenge of AI Personalisation in Education: A Theoretical and Empirical Analysis 7. AI in education: the ethical imperative to keep humans in the loop 8. Theological Ethics in AI Entrepreneurship 9. Safeguarding Human Welfare with AI 10. Algorithmic Branding: The Ethics of AI in Consumer Manipulation 11. AI-Driven Medication Adherence: Addressing Social Determinants and Enhancing Patient Outcomes 12. Emotional and Physical Support Through Ethical AI 13. Artificial Intelligence and the Future of Data Privacy: Examining the MIT Taxonomy and Unified Privacy Governance Framework 14. The Five Horsemen of the AI Apocalypse: A Framework for Understanding Algorithmic Injustice and Governance

Über Autor(innen)

Vishal Rana is an Assistant Professor of Management. He holds a PhD in Human Resource Management from Griffith University, Australia. His research examines the intersections of generative AI, leadership, workforce capability, and educational transformation, with a sustained focus on ethical AI governance and competency-based assessment design. He has led and contributed to funded research projects across Australia and the Middle East, working with universities, policymakers, and industry partners to develop governance frameworks and pedagogical systems that respond to the demands of an AI-mediated institutional landscape.

Govand Khalid Azeez is a Lecturer in the discipline of Politics and International Relations at Macquarie University, Sydney. He specialises in the history and philosophy of technology, and the political economy of Artificial Intelligence.

Ray Parker works at the edge of technology, systems thinking, and emerging AI architecture. An independent systems theorist and strategist, he explores how decentralised infrastructure, machine emotional intelligence, and sovereign AI capability could reshape how societies design and govern technology. With an MBA and Graduate Diploma in Management, Ray has delivered complex projects across telecommunications, engineering, construction, and infrastructure. He is developing the KlusterAI architecture and co-founding MakerPlace.ai to build decentralised compute ecosystems and practical frameworks for human-AI collaboration.

Alan Nankervis is an adjunct professor of HRM at Curtin University in Perth, Australia. He has more than 30 years of teaching and research experience across Australia, Canada, Southeast Asia and China. He has more than 100 co-authored publications. His current research focus is on the future of work, encompassing technology, intergenerational workforces and other demographic trends.