Marcello Miccoli is a Senior Financial Sector Expert in the IMF's Monetary and Capital Markets Department, where he analyses the impact of digital currencies, and fintech, on monetary policy, the financial system, and the broader economy. He also contributes to the IMF’s participation in international working groups on the impact of digital currencies and on enhancing cross-border payment systems. Before joining the Fund, Marcello was at Banca d’Italia, where, in addition to digital currency analysis, he contributed to the assessment of Eurosystem’s monetary policy stance and strategy. His research has focused on unconventional monetary policy, inflation expectations, central bank digital currencies and machine learning techniques to use social media data for economic policy. Marcello holds a PhD in Economics from Stanford University.
Roundtable Room 3 (Level 3)
Decoding Digital Assets and Payments
This roundtable reflects Elevandi’s commitment to developing the infrastructure to support the adoption of new technologies.
Distributed Ledger Technology (DLT) is revolutionising the financial sector, with the potential to streamline processes, enhance security, and democratise access to financial services. However, as DLT-based solutions transition from traditional models towards algorithmic governance, a critical juncture has emerged.
Operating under the theme of Decoding Digital Assets and Payments, this roundtable brings together policymakers, academics, and financial experts to navigate the legal and regulatory complexities arising from the transition towards AI and algorithmic governance in DLT-based finance.
This discussion will delve into the specific challenges and opportunities that arise with this shift, including issues of sustainability, transparency, accountability, and potential biases within the algorithms themselves. By exploring these key areas and considering the potential integration with Artificial Intelligence (AI) and eventually Internet of Things (IoT), the roundtable seeks to contribute to the creation of a sustainable, robust and secure future for this transformative technology. For example, a DLT-based micro-loan platform could leverage on AI algorithms to automate document verification, creditworthiness assessment and loan approvals, potentially reducing processing times, fraud risks and increasing financial inclusion. However, ensuring that these algorithms are unbiased is crucial to prevent discrimination against certain borrowers.
Attendees who wish to familiarise themselves with the topic may refer to the reference materials here.