We are AI Safety and Transparency Department at NASK - National Research Institute. As advanced AI systems are increasingly deployed in real-world applications, ensuring their safety, reliability, and transparency becomes a critical challenge. Our research focuses on:
- Evaluation. Discovering failure modes, assessing safety, and designing contamination-free evaluations.
- Monitoring. Detecting potentially unsafe model behaviors during deployment before harmful actions are executed.

- Sebastian Cygert (Principal Investigator)
- Marcin Sendera (PhD, Senior Researcher)
- Jan Dubiński (PhD, Senior Researcher)
- Maciej Chrabąszcz (PhD Researcher, co-advised with Tomasz Trzciński)
- Mateusz Kowalczyk (PhD Researcher)
- Marek Jeliński (PhD Researcher, co-advised with Szymon Łukasik)
- Antoni Pawłowicz (PhD Researcher, co-advised with Fazl Barez)
- Dominik Lau (PhD Researcher, co-advised with Szymon Łukasik)
- Karmela Matyjaszek (Graduate Researcher)
- Aleksander Szymczyk (Graduate Researcher)
- Filip Pawlicki (Undergraduate Researcher)
- Kamil Dobies (Undergraduate Researcher)