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Artificial Intelligence (AI) is transforming credit underwriting and risk management by enabling more accurate predictions, faster decisions, and improved customer experiences. AI-driven tools allow lenders and credit bureaus to analyze vast datasets, including cash flow information, to deliver dynamic assessments of creditworthiness and expand access to responsible credit for underserved segments. 
 
However, these innovations come with challenges: algorithmic bias, lack of transparency, and over-reliance on incomplete data can lead to unfair outcomes and regulatory scrutiny. Emerging regulatory frameworks emphasize responsible AI use, focusing on explainability, fairness, accountability, and transparency. 

Why Attend? 

• Explore how AI and machine learning are reshaping credit risk assessments in financial services and telecom sectors. 

•  Learn from case studies on innovation and inclusion. 

• Understand key regulatory considerations and risk mitigation strategies. 

• Gain insights into global approaches to regulating AI in the financial sector. 

Participants are encouraged to submit questions in advance via the registration link or email ICCR Secretariat at iccrsecretariat@worldbankgroup.org or Collen Masunda at cmasunda@ifc.org or Sarah Chataing at mchataing@ifc.org

 
Audience 
ICCR and SME Finance Forum members, including: 

• Central banks and financial regulators 

• Data protection authorities 

• Private sector representatives: credit bureaus, banks, fintechs, non-bank financial institutions, DFIs, credit guarantee companies, and microfinance institutions. 

Speakers

• Harish Natarajan, Practice Manager, Financial Inclusion and Infrastructure, World Bank, Acting Chair ICCR
• Paul Heaton, Head of Product and Propositions Marketing, EMEA & APAC, Experian
• Pat Yoder, SVP of Credit, TALA
• Andrés Alonso-Robisco, Senior Economist,  Financial Innovation Division, Central Bank of Spain
• Collen Masunda, Senior Operations Officer, Financial Institutions Group, IFC, ICCR Secretariat