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Challenges and Potential of Digital Currencies – Perspective of Reserve Bank of India

Governor of the Reserve Bank of India addresses challenges of cross-border digital currencies, emphasizing the potential of Central Bank Digital Currency (CBDC) and programmability for financial inclusion. New use cases and integration of AI in financial services are highlighted, stressing the need for trustworthy systems and careful deployment in key areas.

26 August 2024 | 10:23

Challenges of Cross-Border Digital Currencies Addressed by the Governor of the Reserve Bank of India

The Governor of the Reserve Bank of India, Shaktikanta Das, expressed concerns regarding the implementation of interoperability of cross-border digital currencies. He highlighted technical barriers and the need to establish governance structures to ensure long-term sustainable development in this area.

The Potential of Central Bank Digital Currency According to the Reserve Bank of India

The Reserve Bank of India emphasizes the potential of Central Bank Digital Currency (CBDC) in the realm of payment systems. This form of currency can support both domestic and cross-border transactions, opening new opportunities for the financial sector.

CBDC Programmability and Financial Inclusion

The programmability feature of CBDC can support financial inclusion by precisely defining the purposes of fund usage. For example, it could target the needs of farmers by directing funds towards agricultural initiatives, which could benefit the sector’s development.

New Use Cases for Digital Currencies

New use cases for digital currencies are expected to emerge, such as testing anonymity features or offline accessibility. These innovations may further enhance the attractiveness of CBDC in the market.

Integrating Artificial Intelligence into Financial Services

Integrating artificial intelligence into financial services is a significant step in the sector’s development. However, ensuring data privacy and the transparency of AI models is necessary to avoid potential risks associated with their utilization.

Careful Deployment of AI in Key Decision-Making Areas

It is recommended to carefully deploy artificial intelligence in key decision-making areas, such as credit processes. Explainability of AI models and a clear definition of financial institutions’ responsibilities for their actions are also essential.

Summary: Supporting the Development of Trustworthy AI Systems

Central banks and governments should support the development of trustworthy artificial intelligence systems in the financial sector. Issues related to data privacy, transparency of operations, and the responsible use of new technologies are crucial in this context.

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