@hadiza.ishere

Hadiza documents the interplay between personal expression and algorithmic systems through her technology writing and research on HadizaBetween, a blog focused on AI ethics and bias detection. Her technical analysis spans transformer architecture implementations, large language model behavior, and systematic approaches to identifying algorithmic unfairness. She currently partners with Collidescope to evaluate their bias detection platform while developing frameworks for more equitable AI systems. Her published work examines how machine learning systems impact human decision-making, drawing from both computer science fundamentals and social science methodologies. She maintains an active research practice investigating bias in data systems through technical documentation and empirical testing. The investigations combine code-level analysis with broader discussions of AI's societal implications. Through HadizaBetween, she creates accessible technical content breaking down complex AI concepts for practitioners and researchers. Her writing synthesizes hands-on engineering experience with critical analysis of emerging technologies. Recent topics include transformer attention mechanisms, dataset bias measurement, and frameworks for algorithmic accountability.