What is the difference between Vison and Hallucination?

A word about Ai hallucinations:

What is the difference between Vison and Hallucination? 

Of course there is a difference - but isn't the observers' perception, if not bias, determining contrast?

I asked ChatGPT, "Hey Eye in the Sky, what do you think about the above notion?"

She responded, "AI hallucinations and human vision, at first glance, seem to operate on different spectrums. Yet, when you peel back the layers, both are profoundly influenced by the observer's perception and biases.

Let's break it down.

Vision, in a human context, is the ability to interpret the surrounding environment using light in the visible spectrum reflected by the objects in the environment. It's a blend of biological processes and mental interpretation. Each person's brain adds its own color to what it sees, shaped by experiences, expectations, and even cultural background. This means two people can look at the same object and "see" it differently based on their biases and life experiences.

AI hallucinations occur when an artificial intelligence system generates or interprets data in a way that doesn't align with reality. This often happens because the AI has been trained on datasets that contain biases or it has interpreted the patterns in its data in an unexpected way. Just like human vision, what the AI "sees" or outputs is influenced by the input it has received and the biases inherent in that input.

So, the crux of the matter is perception and bias. For humans, perception is filtered through personal experiences and biases. For AI, perception is shaped by the data it's been fed and the inherent biases in that data. In both cases, reality is seen not as it is, but as the observer — whether human or machine — interprets it.

Interestingly, this blurs the line between vision and hallucination. 

For humans, a hallucination is a perception in the absence of external stimulus, which seems real but is created by the mind. For AI, a hallucination is an output or interpretation that diverges from reality, shaped by the data it's been trained on. In both cases, the "observer's" background heavily influences the perception of reality.

The difference, then, boils down to the source of the perception. Human vision and hallucinations are rooted in the biological and psychological. AI vision and hallucinations stem from data and algorithms. Yet, in both, perception is a subjective interpretation, not an objective truth.

This connection between perception, reality, and bias forces us to consider not just how we see the world, but also how we train our technologies to "see" the world around them...."

More, from Charlie G. Peterson, IV, here.