"Generative AI has become deeply integrated into daily life. People increasingly rely on it to think, create, and make decisions. Yet, as organizations scale their use of generative AI tools, a quiet assumption often goes unquestioned: that an AI tool will respond in the same way regardless of the language used to prompt it, much like changing the language setting of a phone."
"Jackson G. Lu is the General Motors Associate Professor of Management at the MIT Sloan School of Management. He focuses on three research streams: (1) the "Bamboo Ceiling" experienced by Asians in the US; (2) how multicultural experiences (e.g., working abroad) shape key organizational outcomes, including leadership, creativity, and ethics; and (3) the multifaceted impact of AI on individuals, organizations, and society."
"Lu Doris Zhang is a PhD student at the MIT Sloan School of Management. Her research focuses on the workplace and societal implications of AI."
Generative AI has become deeply integrated into daily life, with people increasingly relying on it to think, create, and make decisions. As organizations scale use of generative AI tools, a common unexamined assumption treats model behavior as invariant across prompt languages, likening language changes to changing a phone's language setting. Research interests include the "Bamboo Ceiling" experienced by Asians in the US; how multicultural experiences such as working abroad shape leadership, creativity, and ethics; and the multifaceted impact of AI on individuals, organizations, and society. Additional research examines workplace and societal implications of AI.
Read at Harvard Business Review
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