THIS CONTENT IS AVAILABLE TO PREMIUM MEMBERS ONLY
BECOMING A PREMIUM MEMBER IS QUICK AND EASY...
Digital Content
Log in to continue
Thank you for visiting CeFPro Connect and reading our latest industry updates. To continue reading more, please create your free account. You'll enjoy the following great benefits:
WHAT'S INCLUDED —
- Unlimited access to peer-contribution articles and insights
- Global research and market intelligence reports
- Discover iNFRont Magazine, an NFR publication
- Panel discussion and presentation recordings
Log in to continue or register for free
WHAT'S INCLUDED:
Unlimited access to peer-contribution articles and insights
Global research and market intelligence reports
Discover iNFRont Magazine, an NFR publication
Panel discussion and presentation recordings
Log in or register for free in order to save this content
WHAT'S INCLUDED:
Unlimited access to peer-contribution articles and insights
Global research and market intelligence reports
Discover iNFRont Magazine, an NFR publication
Panel discussion and presentation recordings
Article
Understanding the Complexities of AI Adoption in the Insurance Industry
The insurance industry is cautiously adopting artificial intelligence, with initial applications focused on low-risk areas like customer service. Ted Pine from Munich Re discusses the challenges and opportunities of integrating AI, emphasizing the need for ethical data use and transparency. As insurers gain more experience, they will expand AI's role, but regulatory and standardization hurdles remain.
Oct 01, 2024
Ted Pine, Sr Business Development Manager, Insure AI, Munich Re
Insurers are starting with low-risk applications, such as customer service chatbots, to cautiously integrate AI and reduce potential risks.
Ethical data usage remains a top priority as AI brings new challenges in combining diverse data sets, but existing data privacy guidelines should continue to govern its use.
The insurance industry faces challenges due to the lack of standardized frameworks for managing AI deployment, making future guidelines essential for improving transparency and risk management.
Insurers are being cautious with AI implementation in high-stakes areas, as errors in critical applications could lead to significant economic harm.
Log in to continue or register for free
WHAT'S INCLUDED:
Unlimited access to peer-contribution articles and insights
Global research and market intelligence reports
Discover iNFRont Magazine, an NFR publication
Panel discussion and presentation recordings
Related insights —