Introduction to CBDC
Mumbai: Over 70 lakh Indians are currently using the central bank digital currency (CBDC) as part of its pilot project. The Reserve Bank of India (RBI) is in "no hurry" for a full rollout of the virtual currency, according to a senior official. The number of people using CBDC has reached 70 lakh, and the focus is on increasing the use cases for the CBDC.
CBDC Use Cases and Benefits
The RBI’s focus is on increasing the use cases for the CBDC, with a surge in the number of programmable CBDC cases. The real advantage of CBDC lies in its cross-border usage. However, other countries also need to progress on their own CBDC projects to realize the full benefits. The RBI is working on expanding the use of CBDC, and its potential benefits are being explored.
Digital Payments Intelligence Platform
The RBI is also working on a Digital Payments Intelligence Platform (DPIP) that can analyze and assign a risk score to transactions on a real-time basis. This platform aims to control instances of fraud and improve the overall security of digital payments. Additionally, the RBI has taken initiatives like ‘MuleHunter.ai’, which is being used by 20 banks to prevent fraudulent transactions.
Challenges of Artificial Intelligence
Artificial intelligence (AI) is widely used in the financial sector, but it also poses some challenges. The "Black Box" problem of AI models, or the lack of explainability, makes these models non-transparent. This makes it hard for regulators and auditors to understand how decisions are made, which undermines accountability. Regulatory actions or denial of service to customers would typically require reasons to be communicated, but the absence of explainability may constrain the use of such tools.
Systemic Risks of AI
Apart from the lack of explainability, there are also systemic risks typical to AI systems. For example, "herding behaviour" can occur when AI-driven trading models get widely used, amplifying volatility. Over-reliance on automation could result in losing oversight or delayed intervention when things go wrong. There is also the ethical issue of using behavioural data for manipulative cross-selling or risk profiling.
Balancing Innovation and Stability
The RBI aims to balance innovation while safeguarding systemic stability. Through calibrated guidance, supervisory oversight, and structured engagement with industry, the RBI aims to foster an ecosystem where financial innovation flourishes without compromising systemic stability. As AI reshapes the financial landscape, this approach remains unchanged – progress and prudence must go hand in hand.
Conclusion
In conclusion, the RBI is making significant progress in the development and implementation of CBDC and AI in the financial sector. While there are challenges and risks associated with these technologies, the RBI is working to address them and ensure that innovation is balanced with stability. The future of digital payments and financial technology in India looks promising, and the RBI’s efforts will play a crucial role in shaping this future.
