Connectionists: All you want to know about AI: New edition of the book "Artificial Intelligence Science and Society Part A" (Amazon/Kindle) treating ChatGPT, LLMs and Artificial General Intelligence (AGI)

Wed Nov 20 05:06:37 EST 2024

Dear Colleague and/or AI enthusiast,

this 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.

A new edition of “Artificial Intelligence Science and Society Part A:
Introduction to AI Science and Information Technology“ (paperback and
e-book versions only) is now available in Amazon/Kindle.

 Thought the first edition (October 2022) of this 4-volume book was quite
prophetic on various AI topics (e.g., on the development of Deep Arts, or
the very slow adoption of Metaverse), I felt the need to add two sections
in its Part A on Large Language Models (LLMs)  and Artificial General
Intelligence (AGI) 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:

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

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

“Artificial Intelligence Science and Society Part B: AI Science, Mind and
Humans“ https://www.amazon.com/dp/9609156479?ref_=pe_3052080_397514860

“Artificial Intelligence Science and Society Part C: AI Science and
Society“ https://www.amazon.com/dp/9609156487?ref_=pe_3052080_397514860

“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*:  Prof. Dr. Ioannis Pitas (IEEE fellow, IEEE
Distinguished Lecturer, EURASIP fellow) is Professor at the Department of
Informatics of AUTH and Director of the Artificial Intelligence and
Information Analysis (AIIA <https://aiia.csd.auth.gr/>) lab. He served as a
Visiting Professor at several Universities worldwide. 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.

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 published over 920 papers, contributed
to 45 books in his areas of interest and edited or (co-)authored another 11
books. He has also been member of the program committee of many scientific
conferences and workshops. In the past he served as Associate Editor or
co-Editor of 13 international journals and General or Technical Chair of 5
international conferences. He delivered 98 keynote/invited speeches
worldwide. He co-organized 33 conferences and participated in technical
committees of 291 conferences. He participated in 75+ R&D projects,
primarily funded by the European Union and is/was principal investigator in
47 such projects. He is the coordinator of the Horizon Europe R&D project
TEMA https://tema-project.eu/, AUTH principal investigator in H2020 R&D
projects Aerial Core, AI4Media (https://www.ai4media.eu/ one of the 4 H2020
ICT48 AI flagship projects) and Horizon Europe R&D projects AI4Europe,
SIMAR. He is chair of the International AI Doctoral Academy (AIDA)
https://www.i-aida.org/.  He was chair and initiator of the IEEE Autonomous
Systems Initiative https://ieeeasi.signalprocessingsociety.org/. Prof.
Pitas led the big European H2020 R&D project MULTIDRONE:
https://multidrone.eu/. He has 35200+ citations to his work and h-index
88+. According to https://research.com/ he is ranked first in Greece and
319 worldwide in the field of Computer Science (2022).

This book is a result of a two-year effort by Prof. Ioannis. Pitas 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).

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/>),
Director of the Artificial Intelligence and Information Analysis (AIIA
<https://aiia.csd.auth.gr/>) Lab, Aristotle University of Thessaloniki,
Greece

pitas at csd.auth.gr
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