Connectionists: All you want to know about AI: Book “Artificial Intelligence Science and Society Part A” (Amazon/Kindle) treating ChatGPT, LLMs, AGI and Generative AI

[Efi P]

Dear AI enthusiast or AI specialist,



this 4-volume book addresses the general public that wants to be informed
about and form her/his own opinion on AI. It provides a simplified yet
scientifically accurate description of all AI aspects:

technology (Part A), relation to human intelligence (Part B), social
aspects (Part C) and  AI impact on Environment (Part D). No special
knowledge is needed to read it.



The first edition (October 2022) of this 4-volume book was very prophetic
on various AI topics (e.g., on the development of Deep Arts, or the failure
of Metaverse).

Since then, its Part A has been updated with material on Large Language
Models (LLMs), Artificial General Intelligence (AGI) and Generative AI to
clarify issues that sprang out of ChatGPT success, primarily on AI
technophobia and on the long-term AI prospects.



*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

   2. “Artificial Intelligence Science and Society Part B: AI Science, Mind
   and Humans“
   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
   4. “Artificial Intelligence Science and Society Part D: AI Science and
   the Environment“

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:

   - Will Artificial General Intelligence replace human intelligence? (Part
   A)
   - Are the Large Language Models the way forward to reconcile Machine
   learning and Symbolic AI? (Part A)
   - 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 do 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 are irrationalism, anti-elitism, and social media disinformation
   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 (297 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, Large Language Models and Artificial
General Intelligence.



*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 *Dr.
Ioannis. Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow)*
and was influenced by his being principal investigator of 75+ R&D projects
on Machine Learning, Digital Media, Computer Vision,

and chairing the International AI Doctoral Academy (AIDA).

As a well-known AI futurist, in the past 3 years he has published numerous
articles and delivered many lectures and interviews in the international
media on the future of AI. Quite a few of them were proven to be prophetic.

Dr. I. Pitas is initiator and first chair of the International AI Doctoral
Academy (AIDA <https://www.i-aida.org/>).  He was Director of the
Artificial Intelligence and Information Analysis (AIIA
<https://aiia.csd.auth.gr/>) lab at the Aristotle University of
Thessaloniki (AUTH), Greece.

He was chair and initiator of the IEEE Autonomous Systems Initiative (ASI).
He served as a Visiting Professor at several Universities worldwide.

His current interests are in the areas of artificial intelligence, machine
learning, computer vision, autonomous systems, intelligent digital media,
and human-centred computing.

He has (co-)authored 15 books, 45 book chapters and over 950 papers in the
above topics. He has 40000+ citations to his work and h-index 93+. He is
ranked 319 worldwide and first in Greece in the field of Computer Science
(2022).



This message is sent only once. I apologize if you receive it through
multiple communication channels.



Enjoy!

Prof. Ioannis. Pitas

IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow, Chair of the
International AI Doctoral Academy (AIDA <https://www.i-aida.org/>)

pitas at csd.auth.gr
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