Humans Determine the Direction of Autonomous AI and Create Anxiety About Technology: Ethics, Responsibility, and the Future of Human-Centered Artificial Intelligence - Brossura

Siregar, Torang; Iskandar, M. Yakub; Bendo, Mhel Cedric D.

Brossura

ISBN 10: 9999357687 ISBN 13: 9789999357685

Casa editrice: Eliva Press, 2026

Riassunto

Artificial intelligence is not a force of nature. It is not an autonomous genie, a runaway train, or a robot with its own will. It is a mirror—a reflection of human choices, human values, and human priorities. Every algorithm, every dataset, every deployment decision is made by humans, or by systems designed by humans. The direction of AI is not inevitable. It is chosen. In this groundbreaking book, [Author Name] argues that the most important question of our time is not what AI will do to us, but what we will do with AI. Drawing on philosophy, computer science, law, sociology, and real-world case studies, Humans Determine the Direction of AI offers a comprehensive framework for understanding and shaping the future of intelligent machines. From the hidden biases in hiring algorithms to the ethical dilemmas of autonomous weapons, from the promise of AI in education and healthcare to the perils of surveillance capitalism, this book explores the critical domains where human decisions matter most. It shows how interdisciplinary teams build better AI, why governance must be global and inclusive, and how every individual—consumer, citizen, worker, voter—can influence AI's trajectory. Inside this book, you will discover: Why the myth of autonomous AI is dangerous and how it absolves humans of responsibility How cognitive biases, data gaps, and homogenous teams create biased AI systems The ethical foundations—utilitarian, deontological, and virtue-based—for evaluating AI Practical strategies for mitigating bias and ensuring fairness in algorithmic systems The power of human-AI collaboration: augmentation, not replacement How governments, corporations, and international bodies are regulating AI—and where they are failing The future of work in an AI economy: reskilling, universal basic income, and human skills that machines cannot replicate Case studies from around the world: successes, failures, and lessons learned A global perspective on AI governance, digital colonialism, and data sovereignty.

Dettagli dell'edizione

• Editore: Eliva Press
• Data di pubblicazione: 2026
• Lingua: Inglese
• ISBN 10: 9999357687
• ISBN 13: 9789999357685
• Rilegatura: Copertina flessibile
• Numero di pagine: 409
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile