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The Push for Standardization and Ethical Governance | A Guide To: AI in Insurance
In this insightful discussion, Ted Pine, senior business development manager and AI insurance risk expert at Munich Re, explores the emerging trends in AI within the insurance sector and the pressing need for established standards and frameworks to govern AI deployment practices.
Oct 29, 2024
Ted Pine, Sr Business Development Manager, Insure AI, Munich Re
The views and opinions expressed in this content are those of the thought leader as an individual and are not attributed to CeFPro or any other organization
The insurance industry faces challenges due to a lack of standardized practices for AI deployment, hindering effective governance and accountability.
A unified framework for monitoring AI models is essential to enhance transparency and ensure consistent data governance across the insurance landscape.
Industry collaboration is vital for establishing best practices, enabling organizations to work together toward effective data management and ethical AI use.
Prioritizing ethical considerations in AI implementation is crucial for building consumer trust and fostering sustainable innovation in the insurance sector.
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Global research and market intelligence reports
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