Tatra banka: Data ethics in banking supported by AI

In collaboration with Tatra banka we address the ethical approach of data processing within the banking sector. 

Algorithms used by fintech bring significant improvement to its customers, such as broader availability of services, decreased costs or impartiality in decision-making. Yet, it is of utmost importance to integrate the discussions of human values in data collection, use and sharing to ensure the compliance with the common moral principles.

We have prepared a series of data ethics workshops that delve deeper into reliability and fairness of data sources and fair data collection, stakeholders’ context given the data rights or various transparency issues. This series of collaborative workshops helps Tatra banka’s employees to reveal the potential of negative impacts on people and express their moral concerns related to credit scoring. The aim of these workshops was also to examine the role of the stakeholders affected by the credit scoring and the individual approaches each of them might require. 

We believe that KInIT has helped Tatra banka to give another view on solutions for their customers and employees.

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“We want to better understand how data ethics and responsible use of technologies affect customer experience, so that we can create better product and services.”

Daniel Minárik

Tatra banka, Chief Data Officer

Project team

Juraj Podroužek
Senior Researcher
Matúš Mesarčík
Ethics and Law Specialist
Sára Soľárová
Research Intern