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Top 5 Things That Credit Unions Should Consider When Building an AI Policy

As credit unions embrace the transformative power of Artificial Intelligence (AI) and Large Language Models (LLMs), it becomes essential to construct robust AI policies. The following brief will delve into the realm of AI policy, uncovering the top five critical considerations for credit unions.

  • John Best CEO at Best Innovation Group

Executive Summary

Join us on this journey as we reveal the five key pillars that form a successful AI policy, enabling credit unions to harness AI's potential while safeguarding their members' interests and maintaining regulatory compliance.

Credit Union Implications

By considering the top five factors when building an AI policy—ethical considerations, data privacy, bias, governance, and security— credit unions can navigate the complex landscape of AI with confidence and integrity. The proper implementation of an AI policy will not only drive innovation, but also ensure that credit unions leverage AI technology responsibly and in alignment with their organizational mission and goals. 

As the digital landscape continues to evolve, it is imperative for credit unions to proactively embrace AI and construct policies that enable them to harness its immense potential. Download the full brief to uncover insights and recommendations for credit unions looking to implement a successful AI policy that protects them and their members.

Filene’s Center for Emerging Technology is generously funded by:

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