Insurance companies are leveraging machine learning to increase automated decision making for a variety of use cases, including fraudulent claim detection, pricing optimization, and accelerated underwriting. These innovations are leading to better outcomes for the businesses and customers alike; but as companies balance AI risk with innovation, they must also navigate a rapidly evolving AI policy landscape. In this panel, industry leaders share their experience developing and managing models with positive impact that meet regulatory compliance requirements.