In this blog, we delve further to uncover the institutional, cultural, and evolutionary factors underpinning the challenges of engendering formal savings among LIHs.

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

The response presents our thinking on the governance of artificial intelligence (AI). It is divided into two parts. Part A summarises our key inputs which are also presented below in the form of this write-up. Part B provides a section-by-section paragraph-wise detailed feedback as per the Ministry’s Consultation Form requirements.

Establishing principle-level guidance on operationalising Responsible AI would induce clarity and confidence

In this post, we present our findings from our literature review based on which we conducted the behavioural study.

This post summarises how BNPL lending functions and highlights customer protection concerns that can put at risk the promise of better credit access.

Even when women are not the primary borrowers of formal finance, studies note that they remain responsible for ensuring timely repayments.

In our response, we commend and highlight the more risk sensitive methodology and the corresponding disclosures outlined in the draft guidelines. However, we also point out that not including conduct risk under operational risk is a major lacuna.

In this post, we Introduce the Dvara-Haqdarshak Study on Exclusion in Government to Person Payments.

In this blog post, which is the second part of the two-part series, we studied the suitability formats of four life insurance companies and found many contrasts in the manner in which IRDAI’s suitability regulations of 2019 has been implemented.