MAS-led Industry Consortium Publishes Assessment Methodologies for Responsible Use of AI by Financial Institutions
Singapore, 4 February 2022… The Monetary Authority of Singapore (MAS) announced today the release of five white papers detailing assessment methodologies for the Fairness, Ethics, Accountability and Transparency (FEAT) principles, to guide the responsible use of AI by financial institutions (FIs). The white papers were published by the Veritas Consortium, comprising 27 industry players. The Consortium also released an open-source toolkit
2 The white papers provide:
- a comprehensive FEAT checklist for FIs to adopt during their Artificial Intelligence and Data Analytics (AIDA) software development lifecycles;
- an enhanced Fairness Assessment Methodology to enable FIs to define their AIDA system’s fairness objectives, identify personal attributes of individuals and any unintentional bias;
- a new Ethics and Accountability Assessment Methodology, which provides a framework for FIs to carry out quantifiable measurement of ethical practices, in addition to the qualitative practices currently adopted;
- a new Transparency Assessment Methodology which helps FIs determine whether and how much internal/external transparency is needed to explain and interpret the predictions of machine learning models.
3 To accelerate FIs’ adoption of the FEAT methodologies and principles, the Consortium has developed an open-source software toolkit. The toolkit enables the automation of the fairness metrics assessment and allows for visualisation of the interface for fairness assessment and for the plug-ins to integrate with FI's IT systems.
4 Four core teams within the Consortium were formed to develop the methodologies, toolkit and business use case studies in the banking and insurance sectors:
- Swiss Re and Accenture refined the Fairness Assessment Methodology and applied it to insurance predictive underwriting;
- United Overseas Bank (UOB), AXA and Accenture developed the Ethics and Accountability Assessment Methodology and applied it to customer marketing and insurance fraud detection;
- Standard Chartered Bank (SCB), HSBC and Truera developed the Transparency Assessment Methodology and applied it to credit risk scoring and customer marketing; and
- Accenture and Bank of China developed Veritas Toolkit version one with the support from BNY Mellon, HSBC, SCB and UOB.
5 In the next phase, the consortium will develop additional use cases and run pilots with selected FI members to integrate the methodologies with members’ existing governance framework. MAS is also collaborating with the Infocomm Media Development Authority and the Personal Data Protection Commission (PDPC) to include the Toolkit in the PDPC’s Trustworthy AI testing framework.
6 Sopnendu Mohanty, Chief FinTech Officer, MAS, said, “The new open-source software, assessment methodologies and enhanced guidance will further improve the technical capabilities of financial institutions in developing responsible AI for the financial sector. The Veritas initiative continues to deliver tangible outcomes that demonstrate collaborative public-private partnership to drive trust in the adoption of AI technology, enhance confidence and foster innovation in Singapore's FinTech ecosystem.”