Measuring What Heteronormative Systems Erase in Education: Queer and Transgender Pedagogy, Context-Sensitive Evaluation, and Responsible AI in Pakistan and Afghanistan

This 60-minute hybrid interactive workshop examines how artificial intelligence can be critically and ethically integrated into the evaluation of queer and transgender inclusion within education systems in Pakistan and Afghanistan, where heteronormative and cisnormative structures shape access, participation, safety, and belonging. Through moderated panel discussion and facilitated group reflection, participants will explore how educational institutions, pedagogical practices, and evaluation systems often marginalize or erase gender-diverse learners, while critically assessing both the potential and limitations of AI in evidence generation and evaluation practice. The session will address how AI may strengthen evaluation through qualitative data analysis, pattern recognition, and cross-context synthesis, but also how it can hinder evaluation through embedded bias, misrepresentation, excessive data extraction, ethical harm, and the reproduction of exclusionary norms. Grounded in context-sensitive evaluation methodologies and global AI ethics principles, the workshop emphasizes methodological rigor, human oversight, and ethical responsibility in designing more inclusive and trustworthy education evaluation systems.