01
Teach
How can users communicate concepts and preferences to AI?
I build learning-centered interfaces that help people express knowledge and refine it alongside a model.
Human-AI Interaction
Simret Araya Gebreegziabher
ስምረት አርአያ ገብረእግዚአብሄር
I study how humans and AI learn together.
I am a Ph.D. candidate at the University of Notre Dame, advised by Prof. Toby Li. I design and evaluate tools that foster human-AI collaboration in ambiguous or uncertain contexts. Grounded in cognitive learning theories, my work helps people align their intentions, preferences, and values during model training, fine-tuning, and evaluation.
How can humans remain active partners in shaping AI behavior?
My research follows the relationship between humans and AI across three connected activities: teaching models, evaluating their behavior, and maintaining meaningful human oversight.
02
Evaluate
Who defines what good AI behavior means, and how?
I design workflows that bring domain experts, end users, and model-generated criteria into the evaluation process.
03
Oversee & Align
How can users recognize and correct agent misalignment?
I study how agent behavior reflects human values and how oversight can help users identify and address harmful behavior.
Selected work
Publications
Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversight
The Obvious Invisible Threat: LLM-Powered GUI Agents’ Vulnerability to Fine-Print Injections
Designing Staged Evaluation Workflows for LLMs: Integrating Domain Experts, Lay Users, and Model-Generated Evaluation Criteria
Supporting Co-Adaptive Machine Teaching through Human Concept Learning and Cognitive Theories
MetricMate: An Interactive Tool for Generating Evaluation Criteria for LLM-as-a-Judge Workflow
News
Our CHI ’25 paper on co-adaptive machine teaching won a Best Paper Award.
I will be at UIST presenting our demo paper, MOCHA: Model Optimization through Collaborative Human-AI Alignment.
Finished my internship at Meta Reality Labs.
Started my internship at Meta Reality Labs.
Our paper PaTAT was accepted to CHI.
Started my Ph.D. at the University of Notre Dame.
Graduated from Addis Ababa University with a B.Sc. in Software Engineering, with great distinction.
Gave my graduation lecture as a Global Teaching Fellow at Delta Analytics. Watch it ↗
Started as a Global Teaching Fellow at Delta Analytics ↗
Started working as a research intern at the University of Michigan’s AURA 2020 program ↗
Organized the first AI in Ethiopia Conference. Read about it ↗