Ethical Enterprise AI – A Guideline or Compass?


How are the privacy & ethical standards of Rabobank determined and protected and how can we effectively maintain
our morals while at the same time we encourage a strong drive to optimize business opportunities and profitability?
In this session, we will look at a Privacy by Design canvas for Rabobank and look at examples for which it may not immediately be clear how to act. These examples include cases such as prediction of life- changing events (pregnancy, divorces, illness or worse), that motivated the enterprise discussion on Ethical AI.

Martin Leijen
Architect Data and Intelligence Lab, Rabobank

Martin Leijen is the Architect for the Data & Intelligence Lab, part of Rabobank’s Digital Transformation Office, where he is challenged to extend the current on premise Lab services to the cloud this year.

He started his career at the bank almost 20 years ago at the IT operations department in the Netherlands and soon after got interested in the value of data and BI. As of 2012 he was closely involved with the first big data and advanced analytics experiments in the bank. This resulted in an assignment to help setting up a new department Data Science & Business Consultancy.

From day one, next to introducing innovation with new open source technology, Martin has kept the team highly aware of the privacy and ethics responsibilities, which come with the team’s high privilege to process all data available within and outside the bank. This is why it suits him well to also have the Privacy & Security Officer responsibility for the Data AI & Analytics domain within the bank.


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