Name:Zahra Atf

Bio:

I’m an interdisciplinary AI researcher at the intersection of explainable AI (XAI), large language models (LLMs), and human decision support, grounded in the philosophy of technology. I build rule- and language-based frameworks that make models transparent and auditable, explain uncertainty, and align recommendations with policy and human values-especially in healthcare and marketing-spanning trustworthy LLMs, clinical uncertainty communication, RAG/policy-grounded evaluation, policy-as-code for compliance, and responsible marketing AI centered on consumer trust and fairness.

Country:Canada

Affiliation:Ontario Tech University

Research interests:Explainable AI; LLMs/VLMs & RAG; Human–AI Collaboration; Uncertainty & Policy-as-Code for compliance in healthcare and marketing.