Learn how lending leaders are using ethical and explainable AI.
In recent years, financial institutions and other businesses have increased their usage of automated decisions for consumer lending and other applications. While many would like to deploy artificial intelligence (AI) and machine learning more widely, a lack of understanding when it comes to AI’s explainability remains a barrier to adoption. That makes it challenging to comply with laws such as the Equal Credit Opportunity Act (ECOA) – which requires that individual decisions be both transparent and equitable, and that consumers receive clear explanations when lenders take adverse action.
With decades of experience in automating the detection of fraud and the prediction of credit risk, our Experian experts will discuss best practices in building interpretable models. They will share new techniques that keep decisions transparent and fair even with the most modern machine learning algorithms.
Discover how ethical and explainable AI can help organizations of all sizes and levels of sophistication:
- Make data-driven decisions more responsibly and fairly
- Reduce bias and improve the customer experience while controlling risk
- Improve compliance with lending regulations (including GLBA, FCRA, and ECOA) while deploying scores based on machine learning