Responsible AI - Privacy, Transparency, and Fairness in Insurance

In this webinar, you will: 

• Discover how synthetic data generation can safeguard customer privacy while maintaining data quality and quantity.

• Explore the flexibility of training machine learning models within and outside our platform, including importing externally trained models in ONNX format.

• Gain an understanding of explainability tools that provide insights into model workings, ensuring transparency.

• Learn about Earnix’s Fairness Lab which enables the identification and elimination of biases in models, and the generation of new data to ensure fairness. 

• Understand how Earnix can help address both UK and European regulations. Including protecting customers from pricing discrimination based on their tenure.