Publications
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Showing 11 to 20 of 91 search results.
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Research Note: Reading between the lines: understanding of targeted support in retail investments
This note explores how consumers respond to communications about targeted support for retail investments. -
Annexes: Money talks: Lessons from 2 pilots into large language models for financial guidance [pdf]
Detailed methodology and results for 2 projects using large language models: simplifying financial concepts; and a guidance chatbot in a cash savings context. -
Research Note: Money talks: lessons from 2 LLM pilots on consumer guidance [pdf]
Part of a set of Research Notes to inform discussion on AI topics, this paper relates to 2 large language model pilots on consumer guidance. -
Research Note: Money talks: Lessons from 2 LLM pilots on consumer guidance
This note examines the potential usefulness and limitations of large language models (LLMs) in consumer-facing financial services. -
Research Note: More than reminders: Empowering pawnbroking staff for better customer outcomes [pdf]
Research from the FCA examines how to increase surplus collection rates for pawnbroking customers. -
Research Note: More than reminders: Empowering pawnbroking staff for better customer outcomes
This research explores the effectiveness of an intervention to improve pawnbroking customer collection rates. -
Research Note: Credit where credit is due: how can AI's role in credit decisions be explained? [pdf]
Research Note: Credit where credit is due: how can AI's role in credit decisions be explained? -
Research Note: Annex. Credit where credit is due: how can AI's role in credit decisions be explained? [pdf]
Research Note: Annex. Credit where credit is due: how can AI's role in credit decisions be explained? -
Research Note: Data. Credit where credit is due: how can AI's role in credit decisions be explained? [csv]
Research Note: Data. Credit where credit is due: how can AI's role in credit decisions be explained? -
Research Note: Data dictionary - Credit where credit is due: how can AI's role in credit decisions be explained? [pdf]
Research Note: Data dictionary - Credit where credit is due: How can AI's role in credit decisions be explained?