Elizabeth Osanyinro
Elizabeth Osanyinro is a data analyst passionate about AI ethics, fairness, and inclusive technology. Currently a Business Analyst at Carbonnote AI, Elizabeth is completing an MSc in Applied Artificial Intelligence and Data Analytics at the University of Bradford. With experience as a digital marketing and business analyst, she has worked on diverse projects, including retail analytics, credit card fraud detection, and blockchain-based digital verification.
Elizabeth is proficient in tools such as Microsoft Excel, SAS, Python, R, Power BI, and Looker. As the founder of PyData Bradford, she actively fosters community-driven learning in AI and data science
Sessions
Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries such as healthcare, finance, education, and entertainment. However, these advancements are not benefiting everyone equally. Biases in datasets, algorithms, and design processes often lead to AI systems that unintentionally exclude or misrepresent underrepresented communities, reinforcing societal inequalities.
This talk, "AI for Everyone: Building Inclusive Machine Learning Models," explores the critical importance of developing AI systems that are ethical, fair, and accessible to all. We will examine real-world examples of AI bias, discuss techniques for identifying and mitigating bias in data and models, and explore frameworks for responsible AI development. Attendees will leave with actionable insights to design AI solutions that promote fairness, inclusivity, and social impact.