There has always been fair bit of hyperbole associated when the term Artificial Intelligence is used.

Especially at the moment.

Some is deserved, most of it is not quite yet.

Normally it is accompanied with mass media imagery of robots performing all and sundry tasks for us humans whilst we have our feet up relaxing watching them do all the hard stuff.

What AI actually is, does, can do, is capable of doing and where AI is heading – are all variable issues, subject to much discussion and interpretation.

The technology per se of AI however indeed struggles to keep up with the high level of the hype that accompanies it, occasionally snapping at its heels, but generally being a fair bit behind the wild expectations of some of its proponents. 

Having said that I don’t mean to understate the decades of hard work, clever research and scientific development on AI matters that has happened and the advances made since Turing developed the capacity to build intelligence machines in the 50’s.

However the advances made in AI, its software and use by agents is still in its relative infancy especially when compared to its envisioned world changing vision.

This has been largely because the machines used in AI having been subject to the computing power and capacity available during the particular times in question.


As stated the scientists, cryptographers and mathematicians have indeed taken AI technology in leaps and bounds over the decades, in bursts of activity and within the limits of the science of the time until it has again reached the forefront of mainstream discussion today.

Logic and programming have indeed developed in leaps and bounds.

This has occurred at a time when big data is being recognised as a strategic advantage to businesses if used correctly.

Big data and AI can work hand in glove to achieve such an advantage through better collection, data processing and predictive analysis, so as to give businesses a competitive edge.

At the same time there are some quite powerful and useful AI products and services that have and are starting to hit the market place.

Use cases and pilots and tests in AI by businesses are also at an all time high.

The types of AI applications that businesses are increasing being exposed to include

virtual assistants



machine vision

natural language processing

predictive analytics

and speech recognition. 

Foresight and preparation is therefore paramount for those businesses thinking of using forms of AI products and services as part of their services.

Knowledge is power when it comes to AI. 

Those who make the effort to understand the technology, what it offers, its benefits and most importantly manage its inherent risks will reap the rewards of early adoption.



As I said what matters at this time is that there is proper consideration for the whole range of diverse issues surrounding the proof of concept and pilots and use studies that need to be operationalised, so that AI can be successfully utilised in businesses.

The ethical, technological, commercial and legal issues that arise from the scope of AI agents all need considering. 

Colloboration between developers, scientists, venture capitalists, patent attorneys, ethicists and lawyers is paramount and needs to happen sooner than later to explore the issues arising.

Specialised legal advice from those that understand the technology and the legal environment will be invaluable.

If you are a business needing a lawyer for advice on an artificial intelligence project, you should probably call us.

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