We often talk about a “better world,” but very few if any of us really know what that means. We just know that something feels wrong, and that it doesn’t have to be this way.
Isn’t it strange that our laws and statutes are enacted to allegedly protect the majority from the vastly less significant minority — those of a criminal or distorted character and propensity — who would engage in or profit from exploiting an otherwise open system of commerce, education and governance?
It’s one of the most overused phrases in modern times. However, what “the world needs,” truly, is for us to get clear on what it is we even mean when we say “world”. Do you mean all of humanity? The earth? Both? The Western world? The third? Whose world are we referring to with our grandiose sentiments? And how the hell do we get off speaking as if we have any clue about what the world needs?
In this age of big data, it seems evident that the only way to get truthful, impartial information—synthesized, analyzed, and collated from all across the world, inclusive of all gathered information since we started doing so, regardless of language, agenda, dogma, bias, borders, politics, or budget—will be through employing the natural evolution of said data: A.I.