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Donderdag 19/9/2019
Dr. Frank De Jonghe

The topic of ethical implications of the exploding applications of big data, machine learning and genuine AI has quickly captured the attention of industry practitioners, public observers like journalists, politicians and definitely conference organisers over the past year. It is a vast topic in its own right, deserving all the multidisciplinary attention it gets. In this short commentary, I will limit myself to reviewing some salient features of bias in the context of models used in the financial industry, and, more importantly for the practitioner, suggest some process and governance measures that boards and senior management of financial services companies can take to identify, monitor and mitigate this risk exposure.

Woensdag 27/6/2018

This article is composed of excerpts from the 2017 annual report of the National Bank of Belgium (“Report 2017 - Economic and financial developments, NBB, March 2018), the FSAP results and recommendations published by the IMF on 8 March 2018 (Belgium : Financial System Stability Assessment”, IMF, March 2018) and the press release issued by the NBB at the time (IMF stress tests confirm that Belgian banks and insurance companies are able to withstand severe shocks, NBB, 8 March 2018).