Aleksandra Pawlicka

Aleksandra Pawlicka is a prominent researcher specializing in cybersecurity, explainable AI, and disinformation detection. Her work bridges ethical considerations with technical innovations in network security and AI applications, particularly focusing on the intersection of human-robot collaboration, fake news analysis, and IoT vulnerabilities.

• Key research areas: Cybersecurity Ethics, AI Explainability, Disinformation Mitigation
• Notable collaborations: Marek Pawlicki, Rafal Kozik, Michal Choras

Her publications analyze xAI challenges in intrusion detection, machine learning for network security, and ethical dilemmas in cybersecurity. She contributes to projects like ULTIMATE (robotic AI) and SWAROG (fake news detection), emphasizing transparency and practical implementation.

Recent work explores adversarial attacks against AI systems, few-shot learning for cybersecurity, and neuro-symbolic reasoning for trustworthy AI. Her 2023 study on ChatGPT's impact on scientific communication highlights evolving technological and ethical landscapes in academic practices.