The Evolution of Knowledge
Scientific Theories for a Sustainable Society
1st Edition
Published on 30. June 2024
XXIII, 152 pages
978-981-99-9346-8 (ISBN)
Description
This book emphasizes the rising need for people to have a basic understanding of science and technology and the emphatic role they can play in shaping the AI-driven future, especially in terms of creating sustainable societies with growing job opportunities. This book highlights why a smoothly functioning society will require, but does not yet possess in critical numbers, policymakers, senior managers, government officials, and those entering the high-end of the AI-driven job market who have a shared vision and a shared understanding of how science shapes the future of sustainable societies.
This book makes the case that the destiny of Homo sapiens is not just about evolutionary biology but increasingly about evolutionary knowledge. This book describes the web of knowledge where scientific theories appear as intellectual constructs, which lead to new knowledge that open opportunities for gainful human employment for the well-educated while eliminating jobsfor the less-educated by advancing AI in a predator-prey adversarial model (the logistic map), thus raising livelihood concerns across wide swathes of human population.
This inevitably leads to the question, "How should intellectual property rights, especially patents, be granted and protected when AI becomes advanced enough to invent without human intervention?" To answer this question, lawmakers, policymakers, managers, government officials, judiciary, enforcement agencies, etc., must have sufficient knowledge of how scientific theories impact modern society. After reading this book, the reader will be able to find answers to the following questions:
How do scientific theories impact modern society? What is the intellectual base on which science and technology policies are founded? Why do individuals across a population need to possess scientific knowledge? What are the rising concerns of peoplein finding sustainable employment in an AI-driven world? What is the compelling need to understand the role of patentable inventions in a world where intellectual property is wealth?
This book makes the case that the destiny of Homo sapiens is not just about evolutionary biology but increasingly about evolutionary knowledge. This book describes the web of knowledge where scientific theories appear as intellectual constructs, which lead to new knowledge that open opportunities for gainful human employment for the well-educated while eliminating jobsfor the less-educated by advancing AI in a predator-prey adversarial model (the logistic map), thus raising livelihood concerns across wide swathes of human population.
This inevitably leads to the question, "How should intellectual property rights, especially patents, be granted and protected when AI becomes advanced enough to invent without human intervention?" To answer this question, lawmakers, policymakers, managers, government officials, judiciary, enforcement agencies, etc., must have sufficient knowledge of how scientific theories impact modern society. After reading this book, the reader will be able to find answers to the following questions:
How do scientific theories impact modern society? What is the intellectual base on which science and technology policies are founded? Why do individuals across a population need to possess scientific knowledge? What are the rising concerns of peoplein finding sustainable employment in an AI-driven world? What is the compelling need to understand the role of patentable inventions in a world where intellectual property is wealth?
More details
Series
Language
English
Place of publication
Singapore
Singapore
Publishing group
Springer Singapore
Product notice
Reflowable
Illustrations
XXIII, 152 p. 29 illus., 20 illus. in color.
File size
4,41 MB
ISBN-13
978-981-99-9346-8 (9789819993468)
DOI
10.1007/978-981-99-9346-8
Schweitzer Classification
Other editions
Additional editions
Book
07/2024
Springer
€42.79
Shipment within 3-4 weeks
Person
Rajendra Bera, Ph.D., is the chief mentor at Acadinnet Scientific, Bengaluru, India. He received his B.Tech., M.Tech., and Ph.D. degrees in aeronautical engineering from the Indian Institute of Technology Kanpur, India. During 1971-1995, he served the National Aerospace Laboratories, Bangalore, India as a research scientist in aerodynamics, flight dynamics, theory of elasticity, neural networks, science and technology policy, and technology transfer to industry. While at NAL, he was a visiting assistant professor of aerospace, mechanical and nuclear engineering at the University of Oklahoma, USA (1979-1980), and a visiting faculty of aerospace engineering at the Indian Institute of Technology, Kanpur (1988), where he taught fighter aircraft design. He also served as an honorary professor at the International Institute of Information Technology, Bangalore (2006-2011), where he taught quantum computing and intellectual property rights), and a visiting professor at the Department of Aerospace Engineering, Jain University, Bangalore (2013-2014) where he taught fighter aircraft design and intellectual property rights. During 1995-2005, while at IBM, Bangaluru, India, as head of R&D, Dr. Bera identified and mentored a talent pool into a cadre of prolific inventors, and chaired its Invention Development Team to make it the most successful in Asia Pacific. He led by example by amassing 28 US patents, in each as a sole inventor. Since 2010, he is the chief mentor at Acadinnet Scientific (formerly Acadinnet Education Services), Bengaluru, India.
Content
1. The Evolutionary Nature of Knowledge.- 2. Scientific Theories are Intellectual Constructs.- 3. Knowledge and Employability: The Futility of Rote Education.- 4. Evolving AI Raises Human Concern.- 5. Vulnerabilities of the Patent System.
