AI brainwashing = Artificial Human Intelligence (AHI): building universal AI literacy

AI brainwashing = Artificial Human Intelligence (AHI): building universal AI literacy

"You can fool all the people some of the time and you can fool some of the people all the time but you can't fool all the people all the time." A. Lincoln

We proceed with our educational initiative of building universal AI literacy, considering the fact that a lot of today's AI is about “spying, brainwashing, or killing”, all is under the aegis of powerful governments or military organizations or large corporations oriented toward AI advertising and marketing and profiteering.

The words “artificial intelligence” (AI) have been used to describe the workings of computers for decades, without any common or but precise meaning which shifted with time.

Today, AI describes how to teach computers to imitate a human’s ability to solve problems or to train the technology to accurately imitate or exceed the intellectual capabilities of humans. As such, it involves 

Machine vision: the position of objects in the world through lights and cameras. 

Machine learning (ML): teaching computers about the human cognition or behavior, instead of world itself, with a training data set of examples. 

Natural language processing (NLP): Making sense of knowledge encoded in human languages.

Robotics: develops machines that can automate human-like tasks and do various jobs that a human might not be able to do; create humanoid intelligent machines that can assist or replace humans in a variety of ways.

It is very natural that AI as AHI is viewed today as an existential threat to the world like as human-caused climate change and environmental degradation or nuclear war or pandemics:

Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.

In all cases the same perverted logic. It is fooling or making false or misleading statements about the environmental or technological benefits of a product or practice, going as "greenwashing" and "AI brainwashing".

It is not surprising that typically the same organizations are actively involved in the same brainwashing activities.

Brainwashing: from "greenwashing" to "AI washing"

Brainwashing (mind control, menticide, coercive persuasion, thought control, thought reform, and forced re-education) is altering or controlling the human mind by certain psychological techniques, as a rigid system of reward and punishment in terms of obedience and unwillingness to cooperate,

It is aimed "to reduce its subject's ability to think critically or independently, to allow the introduction of new, unwanted thoughts and ideas into their minds, as well as to change their attitudes, values, and beliefs".

Simply, brainwashing is the use of propaganda or commercial ads and big mass media to persuade the clients or to sway public opinion or to control the population's thoughts and feelings.

Now, what is "greenwashing"?

Have you ever asked yourself why we still pollute the planet by the fossil fuel destroying the environment and triggering climate change, soil erosion, poor air quality, and undrinkable water?

The answer is as simple as massive "greenwashing", making a product that is environmentally damaging appear to be environmentally friendly, making unsupported, false or misleading claims about the sustainability of products, services or business operations or promising green deals in dark future.

Here are some greenwashing words and terms: "green," "eco-friendly," "environmentally friendly," "natural," "sustainable", "recycled" or "carbon-neutral".

In the same ways, “AI brainwashing” involves claiming a product or service to employ AI technology which simulates or mimics or replicates human intelligence, as AHI, when it does not.

Here are some AHI brainwashing words and terms: "artificial intelligence". "artificial neural networks," "training data", "machine learning," "deep learning," "human-like AI," "generative AI", "pattern recognition software", "understanding", "cognitive computing", "chatbot", "AI chips", "AI supercomputers", "weak AI", "general AI".

AHI brainwashing commonly means that it simulate or mimics the human brain or human intelligence, with all the consequences, as what what announced in the Bloomberg press release:

Artificial Intelligence (AI) denotes the concept and development of computing systems capable of performing tasks customarily requiring human assistance, such as decision-making, speech recognition, visual perception, and language translation. AI uses algorithms to understand human speech, visually recognize objects, and process information".

Government's AHI Brainwashing

Truth can be hard to comprehend. But a dedicated pursuit of truth characterizes the true scientist, the true historian, and the true politician, or simply the true man and woman.

In the wake of the commercial overhype in generative AI, governments are racing to adopt national and transnational or international policies and develop global regulatory cooperation.

Several initiatives are underway, involving the EU, OECD, the G7, G20, and United Nations, such as the G7’s Hiroshima Process on Generative Artificial Intelligence (AI).

We have seen and to see all sorts of global, international, and national AI summits, world conferences and other fora, like as:

the Global AI Summit, organized by Saudi Data & AI Authority (SDAIA), on "the impact of AI on the public and private sectors, healthcare, environment, transportation, smart cities and culture among other matters".

the AI Safety Summit, hosted by the British government, where twenty-eight governments signed up to the so-called Bletchley declaration, where the UK, US, EU, Australia and China have all agreed that artificial intelligence poses a potentially catastrophic risk to humanity.

the International AI Summit: Advancing AI Governance: Is a Global Approach possible? Iris presented by Forum Europe and Euronews, the Centre for European Policy Studies, the Forum for Cooperation on Artificial Intelligence

I don't mention the virtual generative AI conferences, as incoming AI World Barcelona or AI World Congress 2023, with keynote speakers from WPP, Telus, McKinsey, Kingfisher, etc.

There are presidents and prime-ministers, ministers, MEPs, diplomats and ambassadors among the key speakers, who are professionally ignorant about AI, be it ML, DL, Generative AI or LLMs.

This political trend was initiated by the Russian president who started politicizing about AI technology, like the nation that leads in AI ‘will be the ruler of the world’, having no idea about it, but just repeating the script.

But where he was right, it is the statement “Artificial intelligence is the future, not only for Russia, but for all humankind”.

So, all politicians, big and small, as well as all minds, from philosophers to artists and businessmen, MUST learn the ABC truths about AI, the leading future technology, and its basic truth.

Real or True AI is completely human-friendly, complementing human intelligence, posing no risk to humanity.

Why AI Washing and Why It Must Be Stopped

Organizations commit AI brainwashing because:

They Want to Control Oligopolistic Markets

They Don’t Know What AI Means

They’re Stalling for Time, Faking It While Make It

They Want Funding by Any Ways and Means

They Want to Capitalize on Massive Amounts of Personal Data, Huge Computing Power and Brand Name Loyalty

The last one refers to the big tech, from Apple and Amazon to Microsoft and Meta, which ML/DL/NNs products and services have nothing with real and true AI, really being AI brainwashing products and services, as pictured below.

If to continue to misuse the term “AI,” it will likely become just another largely ignored marketing buzzword, governments and investors will stop financing the technology, the faith of the public in AI will disappear and the entire industry will suffer.

Shaping the future of human life across virtually every sides and industries, the hype around the AI technology can be much more dangerous than greenwashing or cloudwashing.

Real AI Technology: RAIT

Real AI is not about some advanced software tools or machine pseudo-intelligence or mimicking or simulating or counterfeiting human intelligence in machines.

It is about reality and truth and data, of reality, truth and data and by reality, truth and data, with the real system architecture:

Real AI Technology (RAIT) = the environment (the real world, the internet, virtual reality, etc.) + reality modeling and simulation and interaction engine [perception (sensors, the internet of things, robotics) + knowing/conception/classification + inference/reasoning/decision making (GOFAI) + learning (ML&DL&ANNs) + actuation (actuators, robotics)] + the environment (the real world, the internet, virtual reality, etc.)

To our surprise, OECD Council on 8 November 2023 adopted the new definition of AI to be incorporated in the EU’s new AI rulebook, which is in line with our real AI approach:

“An AI system is a machine-based system that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that [can] influence physical or virtual environments. Different AI systems vary in their levels of autonomy and adaptiveness after deployment,” reads the new definition.

Resources

Building universal AI literacy: learn the fundamentals about future technologies

The World Doesn’t Realize What’s Coming

AI Washing: Everything You Need to Know

THE FUNDAMENTAL FLAW IN ARTIFICIAL INTELLIGENCE & WHO IS LEADING THE AI RACE? ARTIFICIAL HUMAN INTELLIGENCE VS. REAL MACHINE INTELLIGENCE

Supplement

The hidden truths about ANNs, ML, DL, Generative AI and ChatGPT

The truth number 0. Artificial Neural Networks are Not Real AI, Not mimicking how the human brain works, or "learning" the rules, algorithms or models from finding patterns in historical data sets.

The truth number 1. ML is Not Real Artificial Intelligence, but predictive modeling, statistical classification algorithms and predictive data analytics.

The truth number 2. Deep Learning is Not Real Artificial Intelligence, but predictive modeling, statistical classification algorithms and predictive data analytics.

The truth number 3. Generative AI, combining various statistical algorithms to represent and process content as "hallucinating transformer NN models with attention mechanisms", is Not Real AI, but predictive modeling, statistical classification algorithms and predictive data analytics.

The truth number 4. LLMs, models with billions or even trillions of parameters, are Not Real AI, but predictive modeling, statistical classification algorithms and predictive data analytics.

The truth number 5. OpenAI's ChatGPT or Google's BERT are Not Real AI, but predictive modeling, statistical classification algorithms and predictive data analytics.

"Norvig and Russell book -and other authors-, saying that machine learning is equivalent to artificial intelligence is grossly misleading. ML is a contributing discipline of AI, just like search, reasoning, planning, decision making, natural language processing, vision, and robotics.

For instance, ML by itself cannot be intelligent because lacks reasoning, planning, logic, and doesn’t interact with the environment. ML detects patterns and performs predictions based on statistical analysis of data using math based algorithms. These algorithms are not intelligent per se...So, today’s Artificial intelligence, Machine Learning, and Data Science atmosphere is charged with false stories, inflated achievements. That’s bad for all of us. Because in the end what we receive is pseudo-science".

The recent buzz and overhype around generative AI, LLMs and ChatGPT have been driven by the simplicity of new user interfaces for creating deepfakes or digitally forged images or videos, text or graphics, audio, or simple coding in a automatic mode.

Such a ML technology is as old as "neural networks" and "generative AI".

Developed in the 1950s and 1960s, the neural networks work due to computational power and big data sets, running in parallel across the graphics processing units (GPUs) used in the computer gaming industry to render video games.

The gen AI was introduced in the 1960s in chatbots.

The only principal difference from Eliza, now its textual tokens or images are transformed into numerical vectors using multiple encoding techniques, while encoding the biases and prejudices, racism and deception, disinformation and puffery contained in the training data, non-legally web-scraped from the internet.

Source: https://www.linkedin.com/pulse/ai-brainwashing-building-universal-literacy-azamat-abdoullaev-edhxf?trk=feed_main-feed-card_feed-article-content