Beni Chugh

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

In this paper, we aim to identify the challenges and opportunities in financing regenerative agriculture within the context of smallholder farming in India and offer suggestions for enhancing the financing of regenerative agriculture in the country.

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.

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

This blog presents a self-assessment checklist targeted at UI/UX designers and AA product managers, enabling them to surface gaps in the design of their consent artefacts especially in relation to the vulnerable customer.

 Our response covers two themes: Leading from a customer protection perspective, our comments emphasise the need for the prospective SRO to have duties towards the customers, at par with responsibilities towards the regulator.

This research presents a framework comprising nine principles, which we believe are pre-requisites for creating user-centric GRMs.

Dvara Research, with the Data Security Council of India (DSCI), co-developed two privacy handbooks directed at FSPs in the insurance and banking sector. The handbooks help FSPs implement data protection in a customer-centric manner throughout the data lifecycle, including in legacy systems.

Proposal for an outcome-based survey to test the effectiveness of UPI-fraudawareness campaign.