Complexity Engineering

What’s Next for Artificial Intelligence?

Artificial Intelligence (intelligence, really?) has been around for a few decades now. Recently, AI has become immensely popular, especially for its generative ability in using existing examples (information) to write songs, poetry, to chat, morph faces, or to create fake press releases, or get a lawyer in trouble in a court room. All this raises plenty of ethical issues.

Any system that looks up a database of songs, pictures, or poems, to create new versions thereof, is only as good as the set of examples presented to it. The quality and depth of the training set evidently determines the quality of the outcome. A recent experiment performed with ChatGPT – “Complexity and Artificial Intuition and How ChatGPT Doesn’t Get It” (read blog) – shows how Generative AI, just like any other tool, must be used with caution and kept away from small children.

This short blog is about a relatively old idea described in a blog published in July, 2017: “When Will AI become Less Artificial and More Intelligent?” The idea is to

Combine Artificial Intelligence with Artificial Intuition

What would this accomplish? And how could it be done? The obvious goal of such a combination could be, for example, to produce results of minimum complexity. This is what humans try to do instinctively – to select options that will not increase complexity within a particular time horizon: who wants a complicated life? Artificial Intuition is based on measuring the complexity of options and selecting the least (or the most) complex one. Just like humans would do. Imagine if GPS navigation systems gave a third option: simplest, in addition to shortest or fastest.

The above is a rather obvious way of combining Artificial Intelligence + Intuition – the intuition layer would be on top of the intelligence one and act as a filter or post-processor. At Ontonix we already do just that, except that the intelligence layer is human.

Beyond this obvious approach, we can think of two more ways of linking Artificial Intelligence + Intuition. Any idea of what this could be? If you think you know, let us know in the comment section. Oh, and by the way, don’t forget that

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Established originally in 2005 in the USA, Ontonix is a technology company headquartered in Como, Italy. The unusual technology and solutions developed by Ontonix focus on countering what most threatens safety, advanced products, critical infrastructures, or IT network security - the rapid growth of complexity. In 2007 the company received recognition by being selected as Gartner's Cool Vendor. What makes Ontonix different from all those companies and research centers who claim to manage complexity is that we have a complexity metric. This means that we MEASURE complexity. We detect anomalies in complex defense systems without using Machine Learning for one very good reason: our clients don’t have the luxury of multiple examples of failures necessary to teach software to recognize them. We identify anomalies without having seen them before. Sometimes, you must get it right the first and only time!

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