Dr. Sylwia Frankowska-Takhari is an accessibility specialist at Springer Nature, where she supports teams with accessibility audits, inclusive design guidance, and accessibility strategy. She has over 15 years of experience in user research, digital accessibility, and inclusive design across higher education, publishing, finance, and international development. Sylwia is also a visiting lecturer in human-computer interaction and inclusive design at City St George’s, UoL, and her work focuses on accessibility, disabled user experience, and the role of research in shaping more inclusive products and services.
In honor of Global Accessibility Awareness Day, today’s post shares results from an experiment with qualitative data analysis — demonstrating that, while AI can detect patterns, humans must decide what those patterns mean.