Fake AI vs. True AI

We have two opposite classes/kinds/types/concepts/models of AI:

True, Actual or Real AI

False, Fictitious or Imaginary, i.e. today's "AI".

The today's "AI" is presented by what the Big Tech and global social media platforms are hardly pushing, it’s Narrow/Weak AI/ML/DL, like as“Cloud DL/AI Platforms”:

Microsoft AI

AI Platform | Microsoft Azure

Google AI

Facebook AI

Amazon AI: Machine Learning on AWS

Twitter AI: Embeddings@Twitter

Apple AI: Machine Learning - Apple Developer

IBM AI: IBM Research AI

What's New in Deep Learning & Artificial Intelligence from NVIDIA

If True and Real AI is about deep understanding of the world, general, human-like intelligence in a machine, traded as strong AI or artificial general intelligence, the false AI is about statistical learning/ML/DL research directed at specific tasks, from chess playing to image recognition.

The BigTech non-AI is about AML, Automated Machine Learning and Deeply Layered Neural Networks.

“Deep learning” systems are numerical neural networks running numerical functional models, numbers, weights, vectors, matrices, and predictive scores, with no meanings, and any intellectual processes or understanding.

To become really Deep AI, “Deep learning” systems are in need to include deep causal understanding and symbolic reasoning, and not just as iterative formal logical manipulation of symbolic information at the highest computing speed.

Broadly, Deep AI embraces understanding and interacting the world by means of abstractions and conception, symbols and models, cognition, learning and thinking, intelligent decision and acting.

Or technically, ‘the word embeddings produced by word2vec or similar mechanisms’ should be replaced “the world embeddings produced by world2vecand similar mechanisms”.

And what is most critical, real AI is not about some mathematical and statistical, logical or cognitive models of human intelligence, based on the cybernetic theory that the AI of the computer’s “brain” parallels the mechanism of human intellect.

True AI is not about automated pattern/object/image/speech/face recognition, automated NL processing or automated decision making or automated predictions.

Real AI is not about general models of the world being represented by interacting machine, while underpinning mathematical and statistical, logical or cognitive models of intelligent processes, based on the assumptions that the AI of the computer’s “brain” is not after imitating the mechanism of human intellect.

Combining ML and AI, Real Deep AI is about autonomous and intelligent pattern/object/image/speech/face recognition, NL understanding, autonomous and intelligent decision making or autonomous and intelligent predictions.

And such an integrated approach is to be followed by INDEPENDENT HIGH-LEVEL EXPERT GROUP ON ARTIFICIAL INTELLIGENCE SET UP BY THE EUROPEAN COMMISSION.

it is looking for “a learning rational system is a rational system that, after taking an action, evaluates the new state of the environment (through perception) to determine how successful its action was, and then adapts its reasoning rules and decision making methods”.

And AI is broadly defined as including “machine learning (of which deep learning and reinforcement learning are specific examples), machine reasoning (which includes planning, scheduling, knowledge representation and reasoning, search, and optimization), and robotics (which includes control, perception, sensors and actuators, as well as the integration of all other techniques into cyber-physical systems).”

Both machine learning and reasoning include many other techniques, and robotics includes techniques that are outside AI.

Resources

Real AI Manifesto: Artificial Global Intelligence (AGI)

"Whoever Creates Real Artificial Intelligence Will Rule the World"

https://www.linkedin.com/pulse/global-artificial-intelligence-gai-narrow-ai-applied-mldl-abdoullaev/?published=t

https://www.linkedin.com/pulse/artificial-global-intelligence-converging-general-big-abdoullaev/

Universal computing ontology as applied to human minds and general AI:

https://www.igi-global.com/book/...

Kiryl Persianov's answer to What are the major types of artificial intelligence?

Kiryl Persianov's answer to How does Google aim to dominate artificial intelligence?

Kiryl Persianov's answer to What are some popular misconceptions to the general public about AI?

Kiryl Persianov's answer to Why is Google so ahead in AI?

https://www.quora.com/What-separates-todays-AI-from-true-artificial-intelligence/answer/Kiryl-Persianov