معرفی
Emre Kiciman is a leading researcher in artificial intelligence, causal inference, and social computing. His work spans machine learning, ethics in AI, and applications in healthcare and cybersecurity. He has authored over 135 publications in top venues such as ICWSM, KDD, and NeurIPS, focusing on causal discovery, LLM security, and human-AI collaboration. His research bridges theoretical advancements with real-world impacts, including improving mental health monitoring via social media and developing causal tools for robust decision-making. He collaborates widely with institutions and tech companies, contributing to open-source causal AI frameworks and ethical guidelines for AI systems.
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