Introduction
This edited volume explores AI's transformative reach across healthcare, the social sciences, and the humanities, centered on two guiding ideas: Human-AI Symbiosis, where AI amplifies rather than replaces human insight, and Trustworthy AI, emphasizing transparency, fairness, accountability, and robustness in intelligent systems.
Nine interdisciplinary chapters trace AI's evolving role — from foundational machine learning and deep learning concepts, to AI-powered healthcare platforms and multimodal clinical decision support, to breakthroughs in biomedical microscopy. The collection also tackles pressing ethical and legal frameworks for responsible AI, collaborative innovation in protein interaction research, AI's growing influence on political discourse, privacy-by-design architecture, agent-based modelling in archaeology, and AI's expanding footprint in literature and the arts.
Key Features
- - Bridges technical AI advances with real-world human impact across diverse fields.
- - Balances theoretical depth with practical, applied case studies.
- - Addresses urgent ethical, legal, and societal questions shaping AI's future.
- - Showcases cross-disciplinary collaboration between technology, science, and the humanities.
This book is a timely, multidisciplinary resource for anyone invested in building AI that works with humanity — not apart from it.
Target Readership :
Primary readers: Scholars, researchers, and practitioners in AI, data science, healthcare, and the humanities/social sciences seeking rigorous, interdisciplinary perspectives.
Secondary readers: Graduate students and policymakers interested in the ethical, legal, and societal dimensions of emerging AI technologies.