Rumaisa Azeem
Papers
2
Total Citations
14
H-Index
2
About
Rumaisa Azeem is an emerging researcher working at the critical intersection of Human-Robot Interaction (HRI), Machine Learning, and AI ethics. Her most prominent work centers on the risks posed by integrating Large Language Models (LLMs) into robotic systems — a timely and increasingly urgent area of inquiry as autonomous systems become more prevalent in everyday environments. In her highly discussed paper, "LLM-Driven Robots Risk Enacting Discrimination, Violence, and Unlawful Actions," Azeem and her collaborators challenge the uncritical enthusiasm surrounding LLM-powered robotics, arguing that these systems carry significant potential for harmful, biased, and legally problematic behaviors in real-world settings. The paper, which has accumulated 14 citations across two versions published in 2024 and 2025, has resonated strongly within both the HRI and ML communities. Azeem's research serves as an important counterweight to techno-optimistic narratives, urging developers and policymakers alike to rigorously examine the ethical dimensions of deploying LLM-driven robots in household, workplace, and social contexts. Her work positions her as a thoughtful critical voice in the rapidly evolving conversation around responsible AI and robotic autonomy.
Research Focus
Key Achievements
Top Papers
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