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The diversity of humans and other creatures is often a cause of wonder, and this diversity is often reflected in our understanding of Artificial Intelligence (AI). Huge strides have been made in this field, but somehow the fundamental differences in Humans obscures the commonality of the ‘Human’ experience.

One of these factors is Sight, the act of seeing. While we often overlook this day to day, for an AI, or any robotic devices, intelligent or not, is the vision. This vision, our ability to see what other humans see is a basic element of language and communications. Try describing  the Color Red to a blind person, and you will quickly see the issue. No artificial ‘Eye’, sensor or camera in the AI/Robotic world ‘sees’ like we do, nor do any AI or robotic devices share the same ‘vision’ devices.

Explaining ‘Red’ to the blind is the same as two AI’s trying to explain ‘Red’ to another AI. Complex is not a big enough word to explain this.

The solution is problematic, the Technology of Seeing, needs to become a common denominator within the AI community. Current vision systems are at best a mixed bag, and require an upgrade, and a standardization that is currently lacking. And while the vision information obtained from the Human Eye and a Robotic replacement might attain equality, they may never contain the same data due to the differences in the technology. What must happen is that common robotic vision devices (eyes) need to be good enough and be interchangeable so that different AI’s can resolve the color ‘Red’ the same way. Paving the way for a common communication interchange regarding the external world.