Credit unions: Learn how to use AI while maintaining members’ trust at GAC
Dr. Jennifer Golbeck has complicated feelings about artificial intelligence. The computer scientist and University of Maryland professor hopes people understand why after her presentation on “AI, Connectedness, and the Big Data Future for Financial Services” at America’s Credit Unions’ Governmental Affairs Conference in Washington, D.C., March 4.
“It’s complicated—a combination of optimism and caution,” Golbeck says, noting she’s an advocate of trustworthy, responsible AI. “The technology is powerful. It can do amazing things. It can help you and your members, but also there are so many ways to use it wrong. What’s the way to do this that’s ethical, responsible, meets people’s expectations, helps everybody, and avoids any pitfalls?”
The potential drawbacks require credit union leadership to ask questions like: How is this tech going to be useful? What are our general goals? How do we see this fitting into those goals? How do we start testing that out?
Golbeck, the director of University of Maryland’s Social Intelligence Lab, believes thoughtful consideration is particularly important for credit unions. For one, credit unions are a regulated industry, and must be aware of the complications that can develop as AI progresses. Plus, credit unions’ deep relationship with their members requires them to be responsible stewards of their members’ money and interests.
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