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Explainable Artificial Intelligence

Responsible AI
Explainable Artificial Intelligence

Explainable Artificial Intelligence is hot. But Explainable Artificial Intelligence is hard.

Ever wondered why you are recommended a particular song or playlist? Or, why your favourite news provider recommends a particular article? Or, how your online retailer is able to suggest the next product you should buy?

Explainable Artificial Intelligence (XAI) is an emerging field of AI that offers the ability to answer these questions and address how black box decisions of AI systems are made, for both the customer and the business.

While the topic of XAI is hot, XAI is equally as hard. So, how can business go beyond the buzzword?

NewsUK aspired to personalise the reading experience to their millions of readers, but previous experiments had left the team frustrated.

They needed a recommender system that was high-performing, able to process large volumes of data in real-time and cost-effectively, and able to provide explainability for each recommendation being served.

Datatonic has developed a state-of-the-art recommender system that personalised articles in real-time for The Sun, The Times and The Sunday Times, with Explainable Artificial Intelligence as a key component in the model design.

Read more about our case study here, and follow us on LinkedIn to keep up to date with blogs and case studies.

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