Google Expert Reveals how AI will Affect your Business. 

If it's correct to say that AI learns and creates in the same way that humans do then it must also be true that-just like human creators- Each AI model must have it's own unique way of doing things- it's own biases and predilictions to produce outputs that are characteristic of that particular model. This is problematic if too many people are going to use the same AI model to do their work because- just as if they all used the same human creative- their results will exhibit a noticable homgeneity. The outcome being that instead of diversity you will see a convergence in the outputs, continuities that will become more and more noticable as the number of people using a particular model increases. All tools leave their mark on the things they make and AI is just a tool (so we are told). Given the fact that AI models are increasingly expensive to train it's very likely that in the future a handful of models will likely dominate the space, models that will be used by just about everyone. The outcome will be a subtle but pervasive 'sameness' of output that may go undetected for a while but over time will become more and more noticable and will-in the long term- render the use of AI models as sources of genuine creative solutions at best doubtful and at worst counter-productive. AI Art is good example of this- there are lively debates to be found online between the users of different AI Art generators- each group arguing the merits of their particular model- what they do not seem to appreciate however is that the source of their contention is rooted in the fact that each AI Art Generator does indeed have it's own visual 'tells' that are present in every image they generate- so by extension the more people who use these models to generate Art, the more their outputs will share a common visual identity- not really ideal if you are trying to establish a distinctive visual brand or style. And while it's true to say that you can prompt these models to work in many different styles- the way each model interprets these styles is consistent across all of their outputs. Using an AI model to source creative ideas is fine unless everyone else is using the same model- once that happens your ideas and their ideas are likely to share subtle similarities that will be hard to identify untill seen side by side in the same marketplace, at which point it's a bit of an embaressment. We really can't have it both ways here- either AI models are human like in their uniqueness and thus will present identifiable artefacts in their outputs- or they are entirely devoid of any uniqueness in which case how can it be claimed that they are in any way viable as a source of unique ideas? They cannot both be creative and at the same mechanically predictable in their outputs. If to be creative is to be unique- and to be unique is to be identifiable- then it follows that the output of any given AI model will be identifiable as the output of that model- and thus give rise to the problems described above.

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