Category: Technology


What to Consider When Implementing AI in Lending: A Conversation with ChatGPT

In the first post in our series on AI in lending, I began a conversation with ChatGPT, a so-called “large language model” of AI that’s made headlines recently. In that first part of the discussion, we covered 3 major benefits of AI in lending. In our second post in the series, we discussed the major […]

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3 Risks of AI in Lending: A Conversation with ChatGPT

In our first post in this series, we introduced the concept of AI in lending and examined the first part of my conversation on the subject with ChatGPT – a so-called “large language model” AI that has made recent headlines. After a general introduction to the idea, I asked ChatGPT about the benefits of AI […]

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3 Benefits of AI in Lending: A Conversation with ChatGPT

Artificial Intelligence, or AI (also referred to as “machine learning”), is here to stay. The financial industry is already inundated with companies offering solutions ranging from underwriting models that consider more than a thousand different data points on each loan application to pricing models that maximize profit while reducing risk to AI-driven audio, video, and […]

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Fintech 2.0 and Beyond: ABA Insights Into Innovative Technology in Banking

In early May 2021, the American Bankers Association held their ABA Innovation Expo virtual conference. Two of the sessions presented by Robert Morgan (SVP, Office of Innovation) stood out in highlighting how banks are implementing innovative technology as well as in revealing surprising insights into how fintechs and banks are evolving with digital lending. The […]

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Technological Innovation in the Community Bank Space

The banking industry is entering a new chapter as the use of technology shifts from optional to mandatory in order to remain relevant in the current global and economic environment. As of July 20, 2020, the FDIC has released a request for information as part of its initiative to promote the efficient and effective adoption […]

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Issues in Name Matching for BISG and Other Proxy Methods for Fair Lending Analysis

One of the challenges in analyzing consumer data for fair lending is the lack of protected-class status, such as race, gender and ethnicity. There are solutions for approximating this data, but they offer their own challenges in turn.

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