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artificial intelligence in dystopian and utopian fiction - IIPSeries - Conferences & Edited Books
Publication Type: Edited Book

ARTIFICIAL INTELLIGENCE IN DYSTOPIAN AND UTOPIAN FICTION

Book Name: Key Insights from Harnessing AI, Machine Learning, and IoT for Smart Business
Authors: Sudesh Sharma, Dr. Devender Singh, Padam Preet Kaur
Keywords: Artificial Intelligence (AI), Robotics, Integration, Automation, Machine Learning, Ethical Concerns, Case Studies, Future Innovations, Workforce Development, Interdisciplinary Collaboration.
Area/Stream: Academic / Edited book / Computer Science and Engineering
Published in: IIP Series
Volume: 4, Month:February,Year:2025
Page No.: 66-76
e-ISBN: 978-93-7020-054-8
DOI/Link: https://www.doi.org/10.58532/nbennurkich7

Abstract:

This chapter, "Artificial Intelligence in Dystopian and Utopian Fiction," explores the transformative relationship between artificial intelligence (AI) and robotics, highlighting their historical evolution and current integration. It examines the fundamental concepts underpinning both fields, including machine learning, computer vision, and natural language processing, while also addressing contemporary trends in automation across various sectors, such as manufacturing, healthcare, and everyday life. The chapter identifies key challenges in their integration, including technical limitations, ethical dilemmas, and economic impacts, supported by case studies that illustrate successful implementations and notable failures. Looking to the future, it discusses potential innovations and societal changes, emphasizing the need for interdisciplinary collaboration and workforce development. By providing a comprehensive overview, this chapter aims to foster a deeper understanding of how AI and robotics can work synergistically to shape a more efficient and equitable future.

Cite this: Sudesh Sharma, Dr. Devender Singh, Padam Preet Kaur ,"ARTIFICIAL INTELLIGENCE IN DYSTOPIAN AND UTOPIAN FICTION", Key Insights from Harnessing AI, Machine Learning, and IoT for Smart Business ,IIP Series, Volume 4, February, 2025, Page no.66-76 , e-ISBN: 978-93-7020-054-8, DOI/Link: https://www.doi.org/10.58532/nbennurkich7
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