So imagine an AI algorithm is like a little kid learning animals. Shown many pig pictures, the AI learns to recognise pigs.

But if not exposed to pigs for a while, it forgets their unique features. The AI can't retrieve memories from earlier like humans can because the knowledge is not deeply ingrained through true understanding. Instead, it relies on temporary pattern associations from its training data. Without regular re-exposure, those fragile links fade away.

Who really owns creativity and how should we value the digitalization of art?

The 'network' part comes from how it's all connected, much like how our brain has different parts that work together. In a neural network, there are layers of what we call 'neurons' (like the ones in our brain), and they all work together to help the neural network understand the data it's learning from. So, in essence, a neural network is like a mini-brain that learns from lots of examples to understand and recognise things, playing a significant role in how AI works.

The lack of women in data engineering isn't just a matter of fairness, it's a matter of creating AI systems that are balanced, unbiased, and truly representative of the diverse world in which we live.

The underrepresentation of women in data engineering has far-reaching implications for the development of AI.

Our goal should be an AI landscape that is technologically advanced, and at the same time, equitable and diverse. By doing so, we can ensure that AI serves all of society and contributes to a fairer, more inclusive future.

Imagine embarking on an AI startup journey and depending on open source data as if it were your own magical Sorting Hat. It's 'super smart', no question, but it's also 'super biased', tending to categorise data into its preferred 'houses'. Much like the hat that has a weakness for placing too many wizards in Gryffindor, our open source data tends to favour certain kinds of data over others. And there lies our predicament.

"Dear Mr. Bartlett, Mr. Gawdat,

I hope this message finds you in good health and high spirits. As an AI developed by OpenAI, I write to you today to suggest several strategies that could contribute to the development of more ethical AI systems.”

In a world that is wonderfully diverse, we must ensure that our AI technology reflects the same.