About the Project

Large Language Models (LLMs) are increasingly used to support financial analysis and investment advice. Emerging research suggests that LLMs may embed hidden political ideologies that influence how they analyse information and make recommendations.

This project investigates whether LLMs exhibit systematic political ideologies and whether these orientations affect the financial judgements they provide. Because LLMs are typically designed to avoid revealing political views through direct questioning, the project extends an existing auditing framework to measure political ideology as revealed through financially grounded analytical tasks. A key innovation is the development of a new survey instrument designed to uncover political differences by examining how AI systems approach real-world financial decision problems. This approach establishes a benchmark measure of political ideology across different LLMs.

The project further explores how these ideological tendencies change when LLMs operate under professional personas commonly used in financial services. By prompting models to adopt the role of a financial analyst or financial advisor, the research examines whether persona-specific ideological orientations influence stock forecasts, investment recommendations, and ESG investment advice, including portfolio construction choices and their underlying justifications. This allows for systematic comparison between baseline ideological tendencies and those expressed within professional financial decision-making contexts.

Funding Notes

Funding towards:

Stipend - UKRI stipend rate for UK students.

Funding details: Fully-funded scholarship for 3 years covers all university tuition fees (at UK level) and an annual tax-free stipend. International students are also eligible to apply, but they will need to find other funding sources to cover the difference between the home and international tuition fees. Exceptional international candidates may be provided funding for this difference.

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The Financial Judgement of AI: New Insights into Political Ideology and Role-Conditioned Bias

University of Strathclyde

16 Richmond St, Glasgow G1 1XQ, UK

About the Project

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The Financial Judgement of AI: New Insights into Political Ideology and Role-Conditioned Bias

University of Strathclyde

16 Richmond St, Glasgow G1 1XQ, UK

About the Project

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Grants to USA Entities for Advanced Materials Research

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The Financial Judgement of AI: New Insights into Political Ideology and Role-Conditioned Bias

University of Strathclyde

16 Richmond St, Glasgow G1 1XQ, UK

About the Project

This is a Preview Listing…

Your Network at Work… Higher Ed Candidate Connect

Academic Roles… Create a Job Alert

Related Jobs

Related Research Grants

Grants to USA Entities for Advanced Materials Research

Grants to USA, Canada, and International Nonprofits to Support Children With Cancer

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Fellowships to USA, Canada, and United Kingdom Engineers and Researchers for ML System Research

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