Xiaochang Li

Xiaochang Li is an Assistant Professor in the Department of Communication at Stanford University.23 Her research focuses on several key areas:

Research Interests

• History and ongoing impact of computing and digital technologies3
• Relationship between information technologies and social and cultural practices2
• History of artificial intelligence (AI), machine learning (ML), and natural language processing (NLP)7
• Automatic speech recognition and its role in shaping algorithmic culture

Academic Background

Dr. Li received her education from New York University.5 She completed her PhD in 2017 with a dissertation titled "Divination Engines: A Media History of Text Prediction".7

Publications and Contributions

Xiaochang Li has published numerous articles and papers in her field. Some notable works include:

• "Vocal features: from voice identification to speech recognition by machine" (2019)1
• "There's No Data Like More Data: Automatic Speech Recognition and the Making of Algorithmic Culture" (2023)1
• "History Can Help Us Chart AI's Future" (2024)1

She has also contributed to collaborative works such as "Spreadable media: creating value and meaning in a networked culture".1

Current Position

At Stanford University, Dr. Li teaches courses in the Department of Communication.4 Her work intersects with the Program in Science, Technology & Society at Stanford.2

Xiaochang Li is actively engaged in academic discourse, with a verified Google Scholar profile and a presence on platforms like ResearchGate, where she is cited by over 1,200 other researchers.6