Publications
The Future We Make: Leveraging AI in Financial Services
A Report with Key Findings from the FinRegLab AI Symposium 2024
Report Summary
On November 21, 2024, FinRegLab hosted the inaugural FinRegLab AI Symposium.
Over 260 leading experts and stakeholders from government, industry, and civil society discussed the challenges and opportunities AI brings to financial services. This report summarizes the key insights from the Symposium and is designed to guide policymakers in the new administration and in Congress.
The report highlights 4 themes and 9 key insights which can help guide the design, delivery, and public policy around AI in financial services to help improve the financial well-being of people across the U.S.
Acknowledgements
Thank you to the founding sponsors of the FinRegLab AI Symposium 2024 which also made this paper possible: Capital One, Flourish Ventures, JPMorganChase, the Bill & Melinda Gates Foundation, Citi, Discover, PNC, KeyBank, Plaid, and Zillow. The findings and conclusions contained within are those of the authors and do not necessarily reflect the positions or policies of the sponsors.
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Can Modernizing Manufactured Home Financing Help Solve Affordable Housing?
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Events
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Artificial intelligence for good: Using AI to stop fraud and scams in financial services
Read more: Artificial intelligence for good: Using AI to stop fraud and scams in financial servicesHow can AI strengthen financial services and protect consumer well-being? Join experts from Block, JPMorgan Chase, and FinRegLab on May 7 for a Brookings panel on how artificial intelligence is transforming fraud prevention, enhancing trust, and safeguarding digital finance. Hosted by the Center on Regulation and Markets, we’ll explore AI as a tool to detect,…
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VIDEO: Designing AI for All People with Jimmy Chen, Meredith Shields, and Clarence Wardell III
Read more: VIDEO: Designing AI for All People with Jimmy Chen, Meredith Shields, and Clarence Wardell IIINon-profit and community-based leaders have been reluctant to adopt and use AI due to limited resources, skepticism about safety and protection, low AI literacy, or simply because they don’t see a clear use case. What can be learned from the sector’s early adopters of AI – and their funders? Join us for a lively discussion…