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.
As the digital landscape and emerging technology continues to evolve, credit unions must assess the potential benefits of using artificial intelligence (AI) as well as the potential risks.
Depending on where your credit union is in the AI journey, Filene has you covered. We invite you to explore our current research insights and trends on the topic of artificial intelligence to help give you the information you need to implement the right AI strategy at your institution.
Report #594 | | Members
Report #537 | | Members
Opportunities and Risks of Conversational AI for Credit Unions: Empathy and Intimacy in Automated Financial Customer Service
As the use of digital channels continues to grow for credit unions, conversational artificial intelligence (AI) technologies provide an opportunity for improved service delivery and the potential for new service offerings such as financial advice.
Report #493 | | Members
How can credit unions differentiate on trust? This report reviews a key area where trust is increasingly at a premium: the use of consumers’ data in algorithmic credit scoring. With this change comes new questions and concerns, especially about the potential for bias and discrimination in algorithmic underwriting.
Blog |What scares credit union leaders, and why we shouldn't fear the monsters under our bed. In this edition of Thinking Forward, Caroline uncovers all the scary threats facing the credit union industry and how leaders can prepare for a spooky strategic planning season.