From Bias to Fairness
Building Trustworthy AI in Fintech
Discover how to detect and mitigate bias in AI-powered lending, credit scoring, and financial services.
Join 80+ students, researchers, and fintech practitioners from UK and Nigeria for practical frameworks on building fair AI systems.
13/12/2025 | 4:00-6:00 PM GMT | Virtual
AI is transforming financial services—but is it fair?
Join 80+ students, researchers, and fintech practitioners from UK and Nigeria as we explore:
✓ How bias enters AI lending and credit scoring systems
✓ Practical frameworks for bias detection and mitigation
✓ Real-world case studies from leading UK fintechs
✓ Building fair AI systems that drive financial inclusion.
Featuring speakers from industry-leading companies and top universities including Oxford, Cambridge, Teesside, and University of Lagos.
Whether you’re a student, data scientist, or fintech builder—learn how to create AI systems that are both profitable and fair.
DATaintell CORE OBJECTIVES
Bridge Academia and Industry: Facilitate pathways for researchers to connect with industries and organizations to maximize their project impact.
Empower Visibility: Provide a global platform for students and researchers to showcase their innovations, regardless of scale.
Reward Innovation: Create recognition systems that reward impactful and solution-driven projects based on community engagement.
Foster Collaboration: Enable partnerships between researchers, institutions, industries, and governments for sustained development and innovation.
Inspire and Inform: Build a repository of projects to serve as inspiration for aspiring researchers, professionals, and industry leaders.
Olukola Oluseyi
Barr. Paul Apeh
Oluwasegun Odesola
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