From AI ethics and cybersecurity to augmented realities, virtual interfaces, and much more, Futureshock provides an accessible introduction to the leading edge topics of today. This collection of writings by experts in their respective fields, invites the reader to explore new worlds that race towards us. This book serves as a map that shows the reader to access vantage points of understanding from which the new digital ecosystem may be seen with clarity. It does not presume any in-depth knowledge on behalf of the reader. Topics are covered things from a conceptual angle, with the relevant conceptual architecture introduced without any need for a strong background in abstract mathematics.
The common thread of the topics of this book is the new technologies, their environments and the user engagement and experience with them. There is a broad coverage of topics pertaining to learning, design, education, metaverse, engineering, cybersecurity, and AI and ethics. It is organized independently and written purposively to enhance the reader’s conceptual literacy so that they may engage with future events in the field critically. By providing a view on the now and next across a broad range of areas, Futureshock is positioned as a springboard for discussion on these and related topics. An important topic on AI and ethics, shares about developing and deploying AI systems for social good, and considering the diverse and complex ethical challenges that arise.
This book serves the professionals working in their fields as they gain further insight into the new digital ecosystem. It would be of interest to a general audience that is keen to learn about the state of play in the technology space. It can also be used as a supplementary text for students in a course that looks at the current and future issues in computer science.
Table of Contents:
1.Introduction 2. AI and Ethics 3. The Future of Education Technology 4. Exploring the integration of design thinking into the engineering discipline 5. How the metaverse and brain computer interfaces can revolutionise the education industry 6. UX design guided by cognitive load theory 7. Ripple Down Rules and Classification 8. Counterfeits and Kill Switches: How Hardware Security can Impact You
About the Author :
Sebastian Sequoiah-Grayson is a senior lecturer in epistemics at the School of Computer Science and Engineering at the University of New South Wales. His research spans across many areas of human information processing, including substructural epistemic logics, dynamic theories of negative information, data sonification, psychological theories of free will, ethics of computer science and information, and philosophy of mathematics.
Review :
“As a Human-Computer Interaction researcher I often think about how we might improve the bandwidth to the brain. To me after-shocks helps us chart a bi-directional path first, from the human brain through interfaces, software and algorithms to the Hardware we rely on today. However you can read through the book, which outlines the risks and opportunities, as we move through Hardware failure, design thinking opportunities, risks and rewards in artificial intelligence such as using ripple down rules or computationally wasteful approaches, through to the rewards for education and finally to what cognitive load theory and Brain computer interfaces and a Metaverse might afford us as we try to cross the rubicon between the digital and the inputs to our brain.
Carefully constructed, this book will delight and possibly annoy you in equal measure, but one thing is certain, your thinking on why “computer science matters” will never be the same again.”
-Professor Aaron Quigley, Science Director and Deputy Director of CSIRO’s Data61
