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| Item Details | Price | ||
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Book- WHEN PURPOSE LEARNS TO CODE
₹720
₹849
WHEN PURPOSE LEARNS TO CODE: A Philosophical, Scientific, and Storytelling Inquiry into the Future of Moral Agency in AI. | Stories and Theories from the Seven Dimensions of Artificial Intention. Paperback
It begins with a simple mental image: A doctor and a thief both hold a knife - one saves a life, the other takes one. Centuries later, an AI-controlled scalpel performs surgery without human hands. The cut is the same - but the question has changed forever: When action is automated, where does intention live?
NOTE:
Absolutely. The prose is accessible, poetic, and layered with examples and narratives. Each concept is explained through analogies - from surgeons to storytellers.
That intelligence without intention is empty - and intention without reflection is dangerous. Humanity’s next leap isn’t smarter machines, but deeper meaning.
Both - and neither exclusively. It’s a philosophical exploration grounded in the realities of AI and automation. The book blends cognitive science, ethics, and design thinking to explore how human purpose migrates into systems that act autonomously.
Anyone curious about the intersection of intelligence and meaning - thought leaders, AI professionals, corporate innovators, philosophers, students, or simply reflective readers seeking clarity amid automation.
No. It’s not about algorithms - it’s about what algorithms mean. Engineers will find moral frameworks; philosophers will find new metaphors; leaders will find strategic wisdom.
It introduces original, trademarked concepts like Intentional Gradientâ„¢, Hybrid Intention Theoryâ„¢, and Ethical Gradient Architectureâ„¢ - creating a fresh vocabulary for understanding distributed agency, moral design, and emergent consciousness.
It transforms abstract ethics into actionable frameworks. Leaders learn how to design intentional cultures; AI professionals learn how to integrate moral foresight into system architecture. It’s not about adding ethics - it’s about engineering purpose.
As a framework for AI ethics training, leadership development, and innovation culture. It’s ideal for ethics committees, design teams, and executives shaping AI-integrated workplaces.