Data Ethics

What you need to know about Data Ethics at a glance

In support of the Monetary Authority of Singapore’s FEAT principles (Fairness, Ethics, Accountability and Transparency), UOB has formulated a data ethics validation procedure that defines the key processes and guidelines on data ethics, including independent validation of high materiality AIDA (Artificial Intelligence and Data Analytics) models.

Data Ethics

Artificial Intelligence and Data Analytics (AIDA)

Data forms the rails on which the digital economy runs. As more customers become more digital-focused in more areas of their lives, the proliferation of data being generated and stored will only increase. Being the trusted custodians of customer data, financial services firms will need to understand the responsibilities associated with data ownership and the ethical use of these data.

As UOB is still at the early stages of our data journey, we have the opportunity to start the journey on the right footing by championing a common set of principles on how financial industry can use data responsibly. These principles should be the standard that guides the financial service firms as they balance data-driven customer innovation with ethics.

In November 2018, MAS released a set of principles to promote fairness, ethics, accountability and transparency (FEAT) in the use of artificial intelligence and data analytics (AIDA) in Singapore’s financial sector. This set of principles is not intended to be prescriptive and it provides high-level guidelines for financial services firms to adopt as a foundational framework.

As a values-based organisation, we at UOB are committed to being honourable and safeguarding the interests of our customers is our priority. To this end, we have set up a multi-disciplinary data ethics task force to develop a governing framework of policies and processes that ensures its AIDA-driven decisions comply with the FEAT principles. In addition, through the MAS Veritas Consortium, of which UOB is a founding member, we have collaborated with MAS and their partners to develop an assessment methodology to evaluate fairness, ethics, accountability and transparency in AIDA models.

At UOB, we also have robust standards, processes and policies in place to ensure the ethical governance and use of data. We will continue to strengthen the foundation of trust we have with our customers, by building upon the best practices in Responsible AI and Data Ethics.

We are committed to being honourable and
we believe in Responsible AI

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