Project Partners

The FIN-X project is a collaborative effort involving a range of partners from academic institutions, industry, and associations. Each partner brings unique expertise to support the development of explainability tools for AI applications in the financial sector.

Educational Institutions

• University of Applied Sciences Utrecht: Acted as the lead party (penvoerder) of the project, guiding its direction and contributing advanced expertise in data science, user interface design, user experience and explainable AI for financial applications.
• Hogeschool van Amsterdam: Contributes advanced knowledge in data science and AI for financial applications.
• Jheronimus Academy of Data Science: Contributes advanced knowledge in data science and AI for financial applications.

Industry Partners

• Floryn: A financial services provider that collaborates on practical use cases for explainable AI in loan processing.
• FRISS: Specializes in fraud detection, contributing insights for explainable decision-making in claim assessments.
• De Volksbank: Participates as a financial institution focused on customer-oriented explainability solutions.
• Sygno: Provides expertise in anomaly detection for compliance and fraud prevention, supporting AI transparency.
• MavenBlue: Works on developing risk assessment tools with a focus on explainability.
• Mogelijk: Contributes insights on mortgage and loan processing for transparent AI applications.
• Deeploy: Offers specialized technology for real-time explainability and interpretability in AI systems.
• Datacation: Focuses on data-driven insights and works on making AI decisions more understandable for internal users.
• BBO: Provides legal expertise, ensuring that AI applications align with regulatory requirements for explainability.
• Amsterdam Data Collective: Supports data analysis and AI development, prioritizing transparent AI models.
• BG.legal: Legal partner that ensures the project’s tools comply with laws surrounding AI explainability.

Advisory Partners

• De Nederlandsche Bank: Provides regulatory insights on transparency and compliance in AI usage within financial institutions.
• Verbond van Verzekeraars: Represents the insurance sector, advising on explainability needs specific to insurance applications.
• Holland FinTech: An industry association that promotes collaboration and knowledge sharing across fintech partners.
• ROM Utrecht: Supports regional innovation in technology and finance, fostering collaboration and development.
• Vereniging Financieel Adviseurs: Provides input on practical needs of financial advisors in explaining AI-driven decisions.
• Human & Tech Institute: Contributes human-centered design principles to enhance user experience in AI explanations.

This extensive network of partners enables the FIN-X project to draw from a broad pool of knowledge, ensuring that the tools developed are practical, regulatory-compliant, and aligned with industry needs.