Trustworthy AI for Financial Services

WP Lead

Sean Ennis

Contact

Building an Ethics-Based, Data-Driven Policy Toolkit for AI Regulation in Financial Services

Work Package 4 examines how AI technologies are reshaping financial services, from robo-advisors and algorithmic trading to fraud detection and regulatory compliance, and how this rapid transformation challenges existing regulatory frameworks. 

While AI unlocks efficiencies and new business models, it also introduces risks related to systemic stability, competitive fairness, and ethical concerns such as transparency and discrimination. To respond to these challenges, the project develops a Trustworthy-AI Policy Toolkit grounded in mathematical risk models and AI ethics principles. 

This toolkit will help financial regulators identify, assess, and manage the risks of AI applications, while providing guidance to foster responsible innovation and maintain trust in the financial system. The work will support both immediate regulatory needs and long-term governance strategies for an AI-driven financial landscape.

WP Lead

Sean Ennis

Contact

Building an Ethics-Based, Data-Driven Policy Toolkit for AI Regulation in Financial Services

Work Package 4 examines how AI technologies are reshaping financial services, from robo-advisors and algorithmic trading to fraud detection and regulatory compliance, and how this rapid transformation challenges existing regulatory frameworks. 

While AI unlocks efficiencies and new business models, it also introduces risks related to systemic stability, competitive fairness, and ethical concerns such as transparency and discrimination. To respond to these challenges, the project develops a Trustworthy-AI Policy Toolkit grounded in mathematical risk models and AI ethics principles. 

This toolkit will help financial regulators identify, assess, and manage the risks of AI applications, while providing guidance to foster responsible innovation and maintain trust in the financial system. The work will support both immediate regulatory needs and long-term governance strategies for an AI-driven financial landscape.

WP Lead

Sean Ennis

Contact

Building an Ethics-Based, Data-Driven Policy Toolkit for AI Regulation in Financial Services

Work Package 4 examines how AI technologies are reshaping financial services, from robo-advisors and algorithmic trading to fraud detection and regulatory compliance, and how this rapid transformation challenges existing regulatory frameworks. 

While AI unlocks efficiencies and new business models, it also introduces risks related to systemic stability, competitive fairness, and ethical concerns such as transparency and discrimination. To respond to these challenges, the project develops a Trustworthy-AI Policy Toolkit grounded in mathematical risk models and AI ethics principles. 

This toolkit will help financial regulators identify, assess, and manage the risks of AI applications, while providing guidance to foster responsible innovation and maintain trust in the financial system. The work will support both immediate regulatory needs and long-term governance strategies for an AI-driven financial landscape.

This project has received funding from the European Union’s Horizon Europe research and innovation program under grant agreement No 101177455

This project has received funding from the European Union’s Horizon Europe research and innovation program under grant agreement No 101177455

This project has received funding from the European Union’s Horizon Europe research and innovation program under grant agreement No 101177455

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