Explainable machine learning work with NatWest Group is discussed in the Scotsman

Vaishak Belle and Giannis Papantonis' work with RBS and NatWest Group was covered in a recent article in the Scotsman:  

"One of the largest UK banks, with 19 million retail and commercial banking customers, NatWest Group's brands include NatWest, RBS and Coutts.

The challenge of Machine Learning (ML) is an excellent opportunity for banks to develop better customer experiences, and improve operations and decision making. But as banks scale up their use of ML, how do they explain how their models make decisions, so they are trusted, understood and improved?

ML “explainability” is complex and growing rapidly, making it hard for data scientists to keep up. University researchers conducted a wide-ranging survey of the explainability techniques available to data scientists at NatWest Group, equipping them with far better tools to explain the bank’s models to stakeholders.

This was a remarkable opportunity to work closely with NatWest Group, to study, distil and position intense activity within the AI and data science communities to address explainability in ML."

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Scotsman article