Chirag Shah

Professor Chirag Shah at the University of Washington Information School (iSchool) is a leading researcher in intelligent information systems and generative AI. With adjunct appointments in Computer Science & Engineering and Human-Centered Design & Engineering, he bridges technical and ethical dimensions of AI. His work focuses on transparency, fairness, and bias mitigation in information access systems.

• PhD, Information Science - University of North Carolina (2010)
• MS, Computer Science - University of Massachusetts (2006)
• MTech, Computer Science - Indian Institute of Technology (2002)
• BE, Computer Engineering - Dharamsinh Desai Institute (2000)

Shah's research spans task-oriented search, conversational systems, and fairness-aware AI. His work addresses critical questions about technology's societal impact, advocating for responsible AI development through his Center for Responsibility in AI Systems & Experiences (RAISE).

Recent publications highlight multimodal interaction models, fairness frameworks, and cognitive trust metrics. These works examine generative AI's reasoning capabilities, bias detection in image search, and collaborative information seeking dynamics.

Major Awards:

• 2025 SIGIR Academy Inductee
• 2024 ASIS&T Research in Information Science Award
• 2024 IEEE Pioneering Leadership in Trustworthy AI
• 2023 Outstanding Contributions to Information Behavior Research
• 2021 Karen Spärck Jones Award

As founding director of the InfoSeeking Lab, Shah mentors students working at the intersection of AI and human values. His collaborations span Microsoft, Amazon, and Spotify, translating research into practical AI solutions.