Law, policy and regulation for customers making digital payments

In the first blog of this series of two, we break down (i) the Committee's methodology, (ii) key insights on the current state of AI adoption, (iii) FREE AI Framework and (iv) its recommendations.

This blog is based on the recent uptake in conversations on the reformation of the know-your-customer (KYC) process in the financial sector. We find the periodicity of the current KYC system to be of concern for various reasons. The periodic updates of KYC present a burden on the customer to validate themselves every few years, failing which they are at risk of being excluded from the financial system.

Fairness, explainability and human-in-the-loop principle are vital elements of Responsible AI

By studying people’s instinctive, unguided ‘trust-decisions’, we hope to uncover their mental models of trust. More specifically, we aim to (i) articulate the expectations that customers have of trustworthy lenders, (ii) help lenders design their products in a manner consistent with the customer's expectations, and (iii) translate these principle-level expectations into processes that lenders may adopt in their customer service to become trustworthy.

This Whitepaper unpacks what RTAI would mean in the context of digital lending. While the term Responsible AI has been adequately conceptualized in academia and elsewhere, it still needs to be coherently contextualized to specific domains.

When AI-driven decisions are fair, respect privacy and are not opaque, they foster customer confidence