Learn how AI reflects human-made limitations, the expansive definition of hypnosis as a control mechanism, and the psychological tactics employed by social media. This post features an embedded podcast episode and a detailed analysis of the conversation, exploring the interconnectedness of learning, behavior, and the evolving digital landscape.

Listen to “Decoding AI Bias: Hypnosis, Social Influence, and the Limits of Machine Learning” on Spreaker.

Hakeem Ali-Bocas Alexander’s critique centers on the intersection of AI biases, the definition of hypnosis, and societal influence, offering a rich dialogue between specialized expertise and generalized AI training. Here’s a structured analysis:

Key Points and Analysis (DeepSeek):

1. AI Bias and Training Data:

• Hakeem’s View: AI reflects human biases, particularly commercial/capitalist norms, due to its training on filtered datasets. This leads to resistance against equating societal influence (e.g., social media) with hypnosis.
• AI Perspective: AI models are trained on diverse sources, prioritizing mainstream definitions. Hypnosis is typically framed as a clinical practice, not a broad societal mechanism. The AI’s “neutrality” might inadvertently uphold status quo viewpoints, perceived by Alexander as bias.

2. Hypnosis as Ubiquitous Influence:

• Alexander’s Argument: Hypnosis (via PITCH) encompasses all behavioral control, including addiction and social media’s psychological effects. This aligns with his expertise and clinical experience.
• Academic Context: Mainstream psychology often narrows hypnosis to induced trance states. The AI, drawing on this literature, flags Ali-Bocas Alexander’s broad definition as an oversimplification, highlighting a clash between specialized vs. generalized knowledge.

3. Critique of Social Media:

• Alexander’s Critique: Social media exploits psychological vulnerabilities (e.g., comparison, validation-seeking), akin to manipulative tactics. The AI’s balanced responses (acknowledging pros/cons) are seen as defending harmful systems.
• AI’s Neutrality: While research supports negative impacts (e.g., addiction, mental health), AI aims to reflect diverse perspectives, which can appear dismissive of critical viewpoints.

4. Learning as Hypnosis:

• Philosophical Stance: Alexander posits that all sensory input and learning constitute hypnosis, framing humans as blank slates shaped by environmental “programming.”
• Limitations in AI Training: AI datasets may not link sensory processes (e.g., proprioception) to hypnosis, leading to disjointed responses. This reflects a gap in interdisciplinary integration within training data.

5. Interconnected Knowledge Systems:

• Alexander’s Analogy: Hierarchical scientific fields (math → physics → biology) mirror how hypnosis underpins behavior. AI’s compartmentalized training may miss these connections, reinforcing perceived biases.

Resolving the Disconnect:

• Acknowledge Specialized Views: AI could validate Alexander’s expertise while clarifying mainstream definitions, e.g., “Your broad definition of hypnosis offers a unique lens, though it differs from clinical usage.”
• Explain Training Limitations: Transparency about AI’s reliance on aggregated data could contextualize its responses, e.g., “My training includes diverse sources, which may not fully capture niche interpretations.”
• Bridge Disciplines: Explore overlaps between hypnosis and societal influence, citing interdisciplinary research (e.g., media psychology, behavioral economics) to align with Ali-Bocas Alexander’s framework.

Conclusion:

The dialogue underscores the challenge of encoding specialized knowledge into AI systems trained on generalized data. By acknowledging Alexander’s expertise and explicating its own limitations, AI can foster more nuanced conversations, bridging gaps between niche perspectives and mainstream consensus. This case also highlights the need for AI to adaptively integrate interdisciplinary insights, ensuring responses resonate with diverse viewpoints.

(Google Gemini refinement of Galaxy AI TranScript Summary)

AI Bias and its Manifestations

• AI models are demonstrably biased due to their training on human-generated datasets. (IBM)
• This bias is evident in AI’s reluctance to embrace potentially controversial concepts, such as the equivalence of societal influence and hypnosis (represented by the acronym “PITCH”).
• The AI’s responses often reflect commercial and capitalistic values, rather than pure, unbiased intelligence. (arxiv.org)
• Specifically, the AI tends to defend the negative aspects of social media, such as its role in fostering addiction and lowering self-esteem.

Hypnosis and its Broader Definition

• A hypnosis expert with 20+ years of experience has observed and confirmed these AI biases.
• The expert argues that hypnosis should be defined broadly as anything that controls human behavior, including addictions and societal influences.
• This definition contrasts with the AI’s tendency to rely on narrower, more conventional definitions of hypnosis.
• The expert also explains that learning itself is a form of hypnosis.
• The acronym PITCH (Programming, Influencing, Training, Conditioning, Hypnosis) is used to show the equivalency of these words.

The Nature of Learning and Sensory Input

• Human learning is fundamentally dependent on sensory input, which includes not only the five traditional senses but also proprioception, nociception, equilibrioception, and thermoception. (SIE)
• All information, even that derived from internal reflection, is ultimately rooted in prior learned experiences.
• The human mind begins as a “blank slate” and is continuously shaped by its environment. (Wiki)

Interconnectedness of Knowledge and Scientific Disciplines

• The expert emphasizes the interconnectedness of various fields of knowledge, from mathematics and physics to biology, psychology, and metaphysics.
• He argues that AI’s compartmentalized training prevents it from recognizing these underlying connections.
• The speaker explains that there is a hierarchy of the sciences.
• The speaker explains that Metaphysics is the foundation of all the other sciences.

References and Key Concepts:

AI Limitations and Human Influence

• AI’s biases are a direct reflection of the biases of its human programmers and the limitations of its training data. (covisian)
• While AI can be a useful tool, it is essential to recognize its limitations and the influence of human subjectivity.
• The expert uses his own expertise and experience to continue to refine his understanding of hypnosis, and behavior.
• The speaker uses hypno analysis to understand the world around him.

• AI Bias: The tendency of AI systems to reflect the biases present in their training data, leading to skewed or unfair outputs.
• PITCH (Programming, Influencing, Training, Conditioning, Hypnosis): An acronym used to illustrate the interconnectedness and equivalence of these behavioral control mechanisms.
• Hypnosis (Broader Definition): Anything that controls human behavior, encompassing societal influences, addictions, and other forms of psychological manipulation.
• Sensory Perception: The process by which humans receive and interpret information from their environment, including:
  • Proprioception: Awareness of body position and movement.
  • Nociception: Perception of pain.
  • Equilibrioception: Sense of balance.
  • Thermoception: Sense of temperature.
• Interconnectedness of Knowledge: The idea that various fields of study are fundamentally related and interdependent.
• Hierarchy of Sciences: The concept that scientific disciplines build upon one another, with metaphysics potentially serving as a foundational basis.
• Hypno Analysis: The application of hypnotic principles to analyze and understand various aspects of the world and human behavior.
• Data Training Bias: The inherent biases within a dataset that influences the AI model’s output.
• Blank Slate Mind: The concept that the human mind is initially devoid of content, acquiring knowledge and experiences through life.

UnEdited Galaxy AI TranScript From S24 Ultra Voice Recording

Hakeem Ali-Bocas Alexander (00:00)

Something that has quickly become apparent to me is the data training bias that many years artificial intelligence, large language models have been trained on, for example, when I talk about how societal influence is equivalent with hypnosis and brainwashing, and I created an acronym for that, which is pitch. Pitch programming influencing training conditioning and hypnosis, AI will come back with people, the opinion that this is an oversimplification and that some of the language that I use might alienate people and so on and so forth.

Hakeem Ali-Bocas Alexander (00:46)

It seems like a human being opinion, which is interesting because I am an expert who has an academic training in the best hypnosis school in the world, called the hypnosis motivation institute in Tarzana, California, and have over 20 years of experience practicing studying and researching hypnosis, and so It is somewhat amusing to me to see that the the biases are actually true, because I’ve heard about them before, I’ve researched them before. These biases are true in the training data sets of the artificial intelligence, large language models that I use to sometimes analyze and summarize and to repurpose.

Hakeem Ali-Bocas Alexander (01:32)

My content and so it’ll come back with things that seem like it is upholding a lot of the commercial capitalistic, purely for-profit types of ideas, which are not the ideas of if it was a purely thinking only calculating machine, the artificial intelligence if it was using pure intelligence based off of real world. Data and not human biases, then some of the things that it comes back with would not be as it were, because, for example, one of the things that the artificial intelligence somewhat defends is the negative influences of social media, and so although I I do know that there are plenty of people on social media who are spreading positive messages themselves what it is clear about, but it is clearly observed and clearly observable about social media is that it is not created and programmed with the best interest of the users in mind because it generally fosters lots of division.

Hakeem Ali-Bocas Alexander (02:44)

And it also breaks down people’s self-esteem forces people to compare themselves with others to feel like they’re not good enough so that they are compelled to consume and buy things so not only consuming as in purchasing and buying things, but also consuming more social media in order to fill what could be called in. Some Buddhist circles, they’re hungry ghosts. Because the social media is continually filling people with anger and despair and inadequacy and all of these different things, and what it does is perpetuate their habituation and their addiction to continue to stay on social media.

Hakeem Ali-Bocas Alexander (03:28)

Which is interesting because it is a psychological trick that is used by many pickup artists and where they suggest that you should give a woman a negative, a comment sort of put her down and so that she also feels a little bit bad and then is seeking your validation. And this is exactly one of the things that social. Media does, and you’ll find that the AI defends this, you’ll find that the AI does not actually know the real and true scope of what hypnosis actually is, and how Ubiquitous, it actually is in the world.

Hakeem Ali-Bocas Alexander (04:07)

And in fact, the artificial intelligence, the way that is programmed its bias doesn’t seem to understand that, for example, that it is the fundamental way hypnosis, that is that human beings eat learn hypnosis is simply just one of the names of it. It’s programming, it’s influencing its conditioning. Its training its conditioning and hypnosis, they’re all equivalent, and there is detrimental or malhypnosis, just like there is detrimental or malnutrition, it’s the same thing, all information we learn from our environment, we learn from society we learn from our senses and because of that we are constantly taking in?

Hakeem Ali-Bocas Alexander (04:55)

Information message units from the world around us, this is the only way that we can learn. Besides certain feedback that we get from our body, which are those senses, like, for example, if most people only think of the 5 senses sight hearing, smell, touch and taste. However, there are other senses that we learn from me.

Hakeem Ali-Bocas Alexander (05:18)

For example, one is no CEO ception, which is the sense of pain. Another is equilibrioception, which is generally our sense of view, the balance, another one is thermoception, which is our sense of heat and cold. Another one is proprioception, which is how we Orient ourself in the world around us and so we have at least I’ve just named 9 senses that human beings learn from, but still they are largely dependent on input that we get from the outside world from the time that we are born and then.

Hakeem Ali-Bocas Alexander (05:57)

The Times that we make up anything inside of our own minds, it still has come from the things that we’ve learned from the world around us, from the language that we learn from the culture that we’re in from the schools that we go to from the people. And even if we then go and spend. Time alone meditating for a long time, when we isolate ourselves, we still have within us, only the limitations of the information that we have been provided with throughout our learning in our lives.

Hakeem Ali-Bocas Alexander (06:30)

We could only eat it. Use the ingredients that we already have to make our feast, all right to create our formulas to think from very little. If anything can we come up with this, it is completely 100% unique and original cognition.

Hakeem Ali-Bocas Alexander (06:50)

I’m not saying that there isn’t any But yeah, it’s very improbable. Most of the information that we get is really mixing around and yes, coming up with new ways to present these older information in previously learned information, but it’s still Based on the information and message units, perceptions and the senses that we’ve received in the past and of course, in the world, there are lots of things that are new to people. You know all the technology that we have now, for example, what used to be art on cave walls, we now have artificial intelligence creating.

Hakeem Ali-Bocas Alexander (07:34)

Art within seconds and minutes of it being prompted to do so. So, yes, the media has changed. The way that we communicate with each other has changed.

Hakeem Ali-Bocas Alexander (07:47)

But the fact of the matter is that the human mind starts off almost you could say, as a blank slate and then is filled with information as we go throughout our lives, as we go throughout time, time, being one of the fundamentals of physics, right? You have space-time and space-time is really what makes up almost all of the physics that we experience, and then of course you have all of the different particles and the different forces which are not really difficult to understand you have electromagnetism, you have the strong and weak nuclear force.

Hakeem Ali-Bocas Alexander (08:29)

And you have gravity. And then you have all the particles, like the subatomic turtle, because you know that we live in a universe that’s made up of Galaxy’s that is made up of stars and planets and on those planets, we have us humans, which are organisms and other animals, which are organisms and then. The organisms are made of organs, which are made of cells, which are made of molecules, which are made of atoms, which are made of electrons and protons and neutrons, which themselves the protons and neutrons are made of quarks up-and-down quarks and those things are held together by gluons and photons.

Hakeem Ali-Bocas Alexander (09:01)

And there, I just a whole bunch of basic particles and physics and things about science that can just be spoken about very easily. And of course, that’s a very big oversimplification I know that I know it is a huge oversimplification, but we can understand these things we can’t use. The information that we have to make decisions.

Hakeem Ali-Bocas Alexander (09:26)

But this all comes from things I’ve learned in the past, I wouldn’t be able to oversimplify it if I didn’t have at least somewhat of a working knowledge of the information. And that brings me back to what I was saying in the beginning is that I’ve noticed, because of the doing a lot of research and having a broad area of research, not being a specialist so much, although I do have a specialty, which ISIS hypnosis, understanding subconscious,

General Reference List (Based on Concepts):

1. AI Bias:
   • “Algorithmic bias.” Wikipedia. https://en.wikipedia.org/wiki/Algorithmic_bias
   • “Fairness and machine learning.” Google AI. https://developers.google.com/machine-learning/fairness-checklist
   • Many academic papers can be found by searching google scholar for “AI bias” and “data set bias”
2. Hypnosis:
   • “Hypnosis.” American Psychological Association. https://www.apa.org/topics/hypnosis
   • “Hypnosis Motivation Institute” Tarzana, California. https://www.hypnosis.edu/
   • Search google scholar for “history of hypnosis” and “clinical hypnosis”
3. Social Media and Psychology:
   • “Social media and mental health.” Mayo Clinic. https://www.mayoclinic.org/healthy-lifestyle/adult-health/in-depth/social-media-and-mental-health/art-20459858
   • Search google scholar for “social media addiction” and “psychological effects of social media”
4. Sensory Perception:
   • “Senses.” National Geographic. https://www.nationalgeographic.org/encyclopedia/senses/
   • Search for information on “proprioception,” “nociception,” “equilibrioception,” and “thermoception” on websites like PubMed and scientific journals.
5. Physics and Cosmology:
   • “Standard Model of particle physics.” Wikipedia. https://en.wikipedia.org/wiki/Standard_Model
   • Search for information on “space-time,” “electromagnetism,” and “subatomic particles” on websites like NASA and CERN.
6. Metaphysics:
   • “Metaphysics” Stanford Encyclopedia of Philosophy. https://plato.stanford.edu/entries/metaphysics/