6 April 2026 - 9 April 2026

Indonesia

Host: Bank Indonesia

Emerging Technologies in Regulation and Supervision including AI, RegTech and Sup Tech

Description

The rapid evolution of technology is reshaping the financial sector, creating both risks and opportunities for supervisors. Emerging tools like AI can introduce new vulnerabilities or amplify existing ones as firms innovate, while future breakthroughs such as quantum computing may threaten cyber resilience with systemic implications. To address these challenges, supervisors must understand the technologies driving change and their risk implications. At the same time, supervisory technology (SupTech) and regulatory technology (RegTech) offers significant benefits, enabling automation, real-time monitoring, and improved efficiency. Harnessing these opportunities responsibly requires tech-savvy supervisors equipped with knowledge and confidence to apply AI and other tools effectively in regulatory and supervisory functions.

This course is designed for experienced central bankers and financial regulators seeking to understand and leverage emerging technologies that are transforming regulatory and supervisory frameworks. The course explores how Artificial Intelligence (AI), RegTech, and SupTech are reshaping compliance, risk management, and oversight in the financial sector. Participants will gain practical insights into technology adoption strategies, governance considerations, and global best practices.

Objectives

By the end of this course, participants will be able to:

  • Understand the role of AI, RegTech, and SupTech in modern regulatory ecosystems.
  • Evaluate technology-driven solutions for compliance monitoring, risk assessment, and supervisory analytics.
  • Analyze case studies on successful implementation in central banks and regulatory agencies worldwide.
  • Identify challenges related to data governance, cybersecurity, and ethical AI in regulatory contexts.
  • Develop strategies for integrating emerging technologies into existing regulatory frameworks.

 

Target Participants

Participants should have 3-5 years of experience in the related areas. 

Resource Persons

The faculty will be drawn from SEACEN-member Central Banks and SEACEN faculty.

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