Chih-Hao Hsu 許智皓
National Taiwan University · Dept. of Computer Science & Information Engineering
I'm an undergraduate researcher, currently interning at LINE Taiwan's Data Dev Team. Previously, I served as an AI Safety Research Fellow at Algoverse. I'm actively seeking PhD opportunities and always open to conversations or collaborations.
News
Two papers accepted by the ICML Mechanistic Interpretability Workshop.
One paper accepted by ACL Findings.
Starting as an AI Safety Fellow at Algoverse, mentored by Anusha Mujumdar.
Interning at LINE Taiwan Data Dev Team.
Starting as a Research Assistant at Academia Sinica, mentored by Prof. Yu-Te Wang.
Research Interests
Broadly speaking, my research interests span two dimensions: from biological to artificial intelligence, and from understanding how these systems work to exploring how they interact with and influence each other.
A data-driven approach to understanding how the brain works and human behavior
Developing interfaces from neuroscience insights and bringing them into everyday life
Understanding how AI systems work internally
Ensuring AI systems are genuinely beneficial and safe
On the biological side, I study the brain through biosignals, and explore how we can bring BCI out of the lab and into everyday life. On the artificial side, I'm drawn to mechanistic interpretability and questions of how to build AI that is genuinely trustworthy and beneficial.
The field of NeuroAI for AI Safety captures a lot of what motivates me: the idea that the brain offers a blueprint for safer, more aligned AI systems, and that this pursuit benefits both fields at once.
I enjoy picking up new skills and knowledge across the quadrants of the map above. Lately I've been drawn to robotics, since biological intelligence is inherently embodied, and I believe there's much to learn from that.