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Welcome to DataIntell Summit 2025: "From Bias to Fairness - Building Trustworthy AI in Fintech" In this opening address, DataIntell founder Oluwasegun Odesola shares the powerful personal story that sparked a movement: how his 2014 thesis plagiarism experience revealed systemic bias in research infrastructure—and why the same challenges now threaten AI systems. 🎯 WHAT YOU'LL LEARN: • The 2014 story: How a plagiarized thesis exposed research invisibility • Why cross-institutional verification matters in academia AND AI • How today's credit scoring, loan approval, and fraud detection systems perpetuate bias • Why transparency is the foundation of fair AI • The connection between research bias and algorithmic discrimination 📊 EVENT DETAILS: Date: Saturday, December 13, 2025 Time: 4:00 PM GMT / 5:00 PM WAT Format: Virtual Summit Theme: From Bias to Fairness - Building Trustworthy AI in Fintech 💡 KEY QUOTE: "In 2014, my thesis was invisible to the system. Today's AI faces the same challenge: how do we build fairness when systems only see certain people?" 👥 ABOUT THE SPEAKER: Oluwasegun Odesola is the founder of DataIntell, a platform bridging academia and industry to ensure research-based innovations are recognized, refined, and impactful. His work focuses on AI fairness, transparency, and financial inclusion. 🔗 CONNECT WITH DATAINTELL: • Website: https://newsletter.dataintell.co.uk 🎓 SUMMIT SPEAKERS & SESSIONS: This summit features expert sessions from: • Dr. Hiba Alsmadi (Teesside University) - UK & EU Regulatory Frameworks • Mark Rudak (GiniMachine) - Dataset Integrity & Bias Detection • Naomi Nour (TotalLab) - Responsible LLM Deployment • Joseph Jacob (Teesside University) - Explainable AI in Fintech 📺 WATCH THE FULL SUMMIT: [INSERT FULL SUMMIT VIDEO LINK] 🏆 SUMMIT IMPACT: • 776+ registrations • 110+ concurrent participants • 15+ countries represented • 84% will definitely attend future events #DataIntell #AIBias #Fintech #FairAI #MachineLearning #AIEthics #TrustworthyAI #FinancialInclusion #DataScience #Nigeria #AIFairness #BiasDetection #AlgorithmicFairness #ResponsibleAI #Summit2025