Saif M. Mohammad

Papers

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About

Saif M. Mohammad is a leading researcher in natural language processing, with a focus on computational semantics, sentiment analysis, and the ethical dimensions of artificial intelligence. His work explores how language conveys emotion, meaning, and social nuance, particularly through the lens of computational creativity and responsible AI. One of his most cited contributions is the study "How do we feel when a robot dies?" (2019, 23 citations), which analyzed emotional reactions on Twitter to the destruction of a robot, revealing deep human-like empathy toward machines. This work bridges affective computing and human-robot interaction, showcasing his ability to probe societal responses to technology. More recently, Mohammad introduced "AI Usage Cards" (2023, 12 citations), a framework for transparently reporting AI-generated content, emphasizing accountability and ethical responsibility in AI deployment. This innovation reflects his commitment to shaping how researchers and developers communicate AI’s role in content creation. With a career defined by interdisciplinary impact, Mohammad’s research not only advances computational methods but also fosters critical conversations about trust, emotion, and ethics in AI—making his work essential reading for students and researchers navigating the future of human-centered technology.