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Machine Diversity

A non-fatal way of doing A.I.

Intelligence

intelligence

/ɪnˈtɛlɪdʒ(ə)ns/

​

noun

noun: intelligence

​

  1. the ability to acquire and apply knowledge and skills.

By definition, we need diversity in the content we consume in order to broaden our knowledge and make the right decisions.

Today’s A.I. is based on technology called Machine Learning.

The philosophy behind Machine Learning is very “divisive” in the sense that it can tell a signal from noise, a cat from a dog, and positive sentiments from negative.

Artificial Intelligence

Today’s A.I. is based on technology called Machine Learning.

The philosophy behind Machine Learning is very “divisive” in the sense that it can tell a signal from noise, a cat from a dog, and positive sentiments from negative.

Today’s A.I. is lacking the ability to diversify.

There is a great need to integrate diversity in A.I. and to shift away from building Artificial Intelligence based only on Machine Learning: we call this “Machine Diversity”.

Machine Diversity
Machine Diversity
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It could lead to potential market saturations and market implosions, eventually resulting in a substantial decrease in sales and a difficulty in releasing new products.

So what does the lack of Machine Diversity mean for businesses?

Saturations and implosions
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