Keywords: Analytics Governance, Artificial Intelligence, Bias, Documentation, Ethical Approach, Frameworks, Insurance, Quality Assurance, Subject Matter Expertise
Author: Abhishek Lall
Publisher: Verisk
Publication Year: 2021
Summary: The following article identifies 3 ways that AI can go wrong in the insurance industry: biased and hidden data, incomplete data, and gaps in subject matter expertise. To ensure an ethical approach to AI, the author recommends building a proper framework, quality assurance process, analytics governance, and documenting guidelines.
