Dear AI professional, student, enthusiast,

 

AI Science and Engineering is un upcoming scientific discipline that can fuse 
AI, brain and mind studies and social engineering in a new scientific 
discipline. It has huge impact on both our society and environment. The new 
book “Artificial Intelligence Science and Society” consists of four volumes 
(parts) debating all technical and social grand challenges of AI Science and 
Engineering in an understandable and scientifically accurate manner:

1.      “Artificial Intelligence Science and Society Part A: Introduction to AI 
Science and Information Technology“

 <https://www.amazon.com/dp/9609156460?ref_=pe_3052080_397514860> 
https://www.amazon.com/dp/9609156460?ref_=pe_3052080_397514860

2.      “Artificial Intelligence Science and Society Part B: AI Science, Mind 
and Humans“  <https://www.amazon.com/dp/9609156479?ref_=pe_3052080_397514860> 
https://www.amazon.com/dp/9609156479?ref_=pe_3052080_397514860
3.      “Artificial Intelligence Science and Society Part C: AI Science and 
Society“  <https://www.amazon.com/dp/9609156487?ref_=pe_3052080_397514860> 
https://www.amazon.com/dp/9609156487?ref_=pe_3052080_397514860
4.      “Artificial Intelligence Science and Society Part D: AI Science and the 
Environment“

 <https://www.amazon.com/dp/9609156495?ref_=pe_3052080_397514860> 
https://www.amazon.com/dp/9609156495?ref_=pe_3052080_397514860

They are self-sufficient and require no mathematical/scientific background. The 
four book volumes debate and try to forecast the future of AI Science and 
Engineering, as well as the upcoming Mind and Social Science and Engineering. 
They are published in Amazon/Kindle.

Here is just an indicative list of few of the debated topics and grand AI 
challenges:

*       Is AI Science and Technology a scientific discipline in its own right? 
(Part A)
*       How can we quantify knowledge? (Part A)
*       Can Virtual Reality truly empower meta-societies or is it just a hype? 
(Part A) 
*       Can AI-powered human-centred computing surpass human intelligence? 
(Part A)
*       Can we create self-conscious machines? (Part B)
*       Can Mind and Social Engineering manipulate human behaviour and social 
functions? (Part B)
*       How social media facilitate medical disinformation? (Part B)
*       What are the envisaged effects of AI and IT on our personal relations 
and sexual life? (Part B)
*       How can we not only protect but also monetize our personal data? (Part 
C)
*       Can AI help devising new political systems? (Part C)
*       How irrationalism, anti-elitism, and social media disinformation are 
related? (Part C)
*       Can new technologies ignite social revolutions? (Part C)
*       Is life and intelligence due to matter complexity? (Part D)
*       Can we patch parts of our brain? (Part D)
*       Is climate controllable through Geoengineering? (Part D)
*       Can humanity progress without resorting to energy-intensive 
technologies? (Part D)

 

Part A Table of contents (276 pages): Data, Signals, Systems, Mathematics, Data 
Acquisition, Processing and Analysis, Data Storage and Search, Computer Vision, 
Data Visualization, Computer Graphics and Animation, Virtual and Augmented 
Reality, Audio, Speech, and Text Analysis, Machine Learning. Pattern 
Recognition, Deep Learning, Information, Metadata, Semantics, Concepts, 
Symbolic Artificial Intelligence, Knowledge, Anthropocentric Computing, 
Robotics, Autonomy, Networks and the Internet, The World Wide Web, Social 
Media, Network analytics, Swarm Intelligence, Software, Computing, 
Communications, Security, Blockchain. 

 

Part B Table of contents  (276 pages): Nervous System, Brain, Brain imaging, 
Brain connectome, Neural and Brain Models, Sensing, Human Senses, Perception, 
Interoception, Physical Intelligen, Action and Motion, Mind, Cognition, Memory, 
Intelligence, Affect, Affective Computing, Language and Speech, Written 
Language and Communication, Consciousness and Self-awareness, Self-aware 
Machines, Computational Brain Modeling Tools, Brain-Inspired Computing, 
Medicine, Medical Genomics, Medical Data, Medical Disinformation, Pharmaceutics 
and Drug Discovery, Anti-vaccination Movement, Ambient Assisted Living, Minors, 
Sex, Pornography, Social Flexibility and Personal Relations.

 

Part C Table of contents  (335 pages): Identity, Intellectual Property,Privacy 
protection, Fake data, News and Agora, Media Production and Streaming, Music 
and Dance, Digital Humanities, Ex machina Arts, Computational Aesthetics, 
Research, Research Dissemination, Morphosis, Educational Methods, Education and 
Society, Truth, Justice, Digital Crime, Digital Markets,Online Marketing, 
Finance and Economics, AI and IT Economics, Cryptocurrencies, Non-Fungible 
Tokens, Digital Governance, Industry, Labor, Meta-agoras and Meta-societies, 
Politics and Democracy, Computational Politics, Societal and Political 
Networks, Social Activism, Irrationalism and Anti-elitism, Virtual Communities 
and Disinformation, Political Activism, Computational History, Computational 
Social Science, Ethics and Philosophy, Religion, Religious Practice and AI, 
Religious Art, War and Peace, Advanced Warfare, Revolution, Geopolitics, 
Trustworthy AI, Information and Knowledge society.

Part D Table of contents  (177 pages): Space and Time, Life, Bioinformatics, 
Systems Biology, Animal and Plant Intelligence, Bio-inspired Machines, 
Epidemiology, Microcosm, Ecology, Agriculture, Sustainable and Precision 
Agriculture, Organic Farming, Earth Sensing, Meteorology, Climate Change, 
Archaeology and Restoration, Smart Cities, Land Transportation, Shipping, 
Aviation, Renewable Energy, Green Information Technologies, Sustainable Earth 
Resources, Geology and Seismology, Space and Astronomy, Law of Complexity.

About the author: This book is a result of a two-year effort by Prof. Ioannis. 
Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) and was 
influenced by his being principal investigator of 75+ R&D projects on Computer 
Vision, Machine Learning, Digital Media and chairing the International AI 
Doctoral Academy (AIDA). Prof. I. Pitas is Director of the  Artificial 
Intelligence and Information Analysis (AIIA) lab at the Aristotle University of 
Thessaloniki (AUTH), Greece. He was chair and initiator of the IEEE Autonomous 
Systems Initiative (ASI). He has (co-)authored 15 books, 45 book chapters and 
over 950 papers in the above topics. He has 34500+ citations to his work and 
h-index 87+. He is ranked 319 worldwide and first in Greece in the field of 
Computer Science (2022).

 

Enjoy!

Prof. Ioannis. Pitas

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