Miguel is the Deputy Head of the BIS Innovation Hub (BISIH) and Head of Strategy. Prior to that he was Head of the Toronto Innovation Hub Centre within the BISIH , in both roles he has contributed to the creation of digital financial public goods such as settlement systems, identity solutions and open finance environments. Before this position he was the head of Payment Systems and Financial Market infrastructures at the central Bank of Mexico where he guided the development, operation, analysis, and regulation of financial market infrastructures. He oversaw the modernization of the payment systems in Mexico, directed the creation of a fast payment system denominated in dollars, and was deeply involved in the development of the operational and regulatory strategy of the Central Bank regarding financial market infrastructures, including CBDC and the inclusion of new market participants in the ecosystem and the opening of the market to open finance solutions. In his previous roles he directed strategic planning and managed macro-financial analysis for the Bank of Mexico, and he is an Economist with a Ph.D. from the University of Chicago.
Roundtable Room 3, Ground Floor
Premium
AI adoption by central banks, the financial institutions they supervise, and in financial systems and infrastructure is growing, even as AI’s capabilities and the AI risk landscape is rapidly evolving.
Increasingly powerful frontier models can enhance efficiency and decision making, whilst posing cybersecurity and financial system resilience risks as they can autonomously identify and exploit software vulnerabilities, raising significant implications for critical financial infrastructure such as national payment systems and the wider financial industry.
This roundtable discusses how central banks can prepare and respond to the next and future generations of AI capabilities and risks, ensuring cybersecurity, resilience and the trusted adoption of AI. The session will highlight best practices, challenges, lessons learnt and opportunities for cross-border collaboration in implementing and scaling AI safely and securely.
Roundtable Room 3, Ground Floor
Premium
AI adoption by central banks, the financial institutions they supervise, and in financial systems and infrastructure is growing, even as AI’s capabilities and the AI risk landscape is rapidly evolving.
Increasingly powerful frontier models can enhance efficiency and decision making, whilst posing cybersecurity and financial system resilience risks as they can autonomously identify and exploit software vulnerabilities, raising significant implications for critical financial infrastructure such as national payment systems and the wider financial industry.
This roundtable discusses how central banks can prepare and respond to the next and future generations of AI capabilities and risks, ensuring cybersecurity, resilience and the trusted adoption of AI. The session will highlight best practices, challenges, lessons learnt and opportunities for cross-border collaboration in implementing and scaling AI safely and securely.