AI Output Fairness Evaluator (Co-Founder, Cammina)
Developed and applied a vulnerability signal taxonomy and 7-dimension assessment framework to evaluate AI outputs and their impact on fairness in essential services. Conducted systematic review and assessment of AI-generated decisions for fairness, transparency, and their divergence from desired outcomes. Collaborated with sector experts to ensure evaluation consistency across water, energy, financial services, and transport domains. • Evaluated outputs of AI-driven decisioning systems. • Focused on ensuring fair treatment for vulnerable populations. • Created new taxonomies for rating AI model behaviors. • Collaborated with government, regulatory, and commercial stakeholders.