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AI bias

The topic of AI bias is getting a lot of airtime at the moment. As it should. There have been a number of embarrassing public blunders and with the influence of AI on real-world decisions spreading, no one wants to see mistakes repeated at larger scale. But why does bias matter so much? How does it get into an AI? What are people, including us at Nuon, doing to avoid it? And, what the heck is bias anyway?

The Great Learning Opportunity of Failure

What may be viewed as failure to some, may actually be an organisation’s strength, because this is how you learn, evolve and grow, and in times like these, where Covid has disrupted almost every aspect of our lives, a willingness to test, experiment and fail may actually be the thing that allows a business to survive.

Reinforcement learning / Nuon AI

Why reinforcement learning for insurance pricing?

The heart of Nuon’s Artificial Intelligence software is a set of proprietary algorithms based on Reinforcement Learning (RL) So why do we use RL? In simple terms, RL allows us to run experiments on live quotation and sales data – and learn from them.

That’s AI right?

The term AI (Artificial Intelligence) is used rather loosely today to describe all kinds of things. Leading some to get annoyed over its use, or apparent misuse. A week rarely goes by without a “the robots are coming and they’re going to take your job!!” story in the media – most of which will refer to AI; and more and more products are sold claiming AI features of one kind or another. Why so now, and why get annoyed?

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