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The term Artificial Intelligence was coined by John McCarthy and since then it has become one of the most widely used terms in technology. Today, almost everything related to automation, prediction, generation or recognition is being called AI. It has also bec...

Probabilistic automation systems are more than just algorithms. They also require a huge amount of human labour behind the scenes. Before a system can learn from data, people have to prepare that data. There is work involved in annotation, labelling, transcrip...

Another important thing about probabilistic systems is that they are not representing all available information equally. They certainly cannot be considered a perfect representation of the world's population. These systems can suffer from gender bias, racial b...

One of the biggest problems with generative AI is that it can produce information which looks completely correct but is actually wrong. This is especially dangerous because the answer can be written very confidently. A person reading it may not realise that th...

Another topic I find interesting is how much people are starting to depend on LLMs for their everyday work. People are using them to write emails, solve programming problems, write assignments, summarise articles, generate ideas, write reports and even make de...

AI can now generate images, music, videos, stories, designs, code and many other things. But does generating something mean that the system is actually creative? Maybe creativity is simply the ability to produce something new. Or maybe creativity also requires...

Another major problem is data privacy. The amount of data being collected and used by technology companies today is enormous. Social media platforms, search engines, video platforms and other services collect huge amounts of information about how people intera...

Another thing that is becoming more obvious is how much of the AI market is controlled by large technology companies. Building advanced AI systems requires huge amounts of computing power, data, infrastructure and money. This creates a situation where smaller ...

After looking at all of these things, I don't think AI should simply be viewed as a piece of software. There are algorithms, but behind those algorithms there is also data. Behind the data there are people. Behind those people there are companies, infrastructu...

This book is not meant to give a final answer. It is meant to start a discussion. Is a system intelligent if it can behave intelligently but does not have consciousness? Can an LLM actually understand something, or is it only predicting patterns? Are we becomi...

The original workshop material that inspired this discussion: https://pub.fabcloud.org/project/fab26_bottrop/workshops/Probabilistic-Systems/ Additional reading: Emily M. Bender, Timnit Gebru, Angelina McMillan-Major & Margaret Mitchell — On the Dangers of Sto...