Shion Guha

A layered visibility framework is synthesized that shows how register records reflect disclosure arrangements and why interoperability requires shared concepts, clear definitions, and preserved provenance.

Scarcity in resource allocation doesn't just amplify inequality—it creates an "Accuracy Trap" that traditional debiasing methods can't escape.

Predictions alone can mislead; understanding how they reshape decision-making is crucial for effective automated systems.

LLMs not only generate biased content but also exhibit second-order bias in their judgments, revealing hidden biases that current safety measures fail to capture.

Institutional transparency in Canada's visa system masks significant disparities in how applicants experience algorithmic decision-making, revealing a troubling gap in accountability.

RAG-enhanced moderation can transform how LLMs address culturally insensitive speech, improving accuracy and community trust.