Research

Name	Topics	Summary
Cloze Encounters: The Impact of Pirated Data Access on LLM Performance w/ Abhishek Nagaraj (co-author)[nber]	innovationgenaicopyright	Large Language Models (LLMs) have demonstrated remarkable capabilities in text generation, but their performance may be influenced by the datasets on which they are trained, including potentially unauthorized or pirated content. We investigate the extent to which data access through pirated books influences LLM responses.
The Crowdless Future? Generative AI and Creative Problem-Solving w/ Jacqueline Lane, Léonard Boussioux, Miaomiao Zhang, Vladimir Jacimovic, Karim R. Lakhani (acknowledged for research assistance)[organization science]	creativitygenai	The rapid advances in generative artificial intelligence (AI) open up attractive opportunities for creative problem-solving through human-guided AI partnerships. To explore this potential, we initiated a crowdsourcing challenge focused on sustainable, circular economy business ideas generated by the human crowd (HC) and collaborative human-AI efforts using two alternative forms of solution search.
Influence of Generative AI on Knowledge Dynamics in Stack Exchange[personal]	innovationgenaiknowledge	Throughout history, humans have employed various methods to gather and disseminate knowledge. From oral traditions and written texts to libraries and the internet, the means of knowledge sharing have continually evolved. With the emergence of genAI like ChatGPT, how will our online knowledge ecosystems change? I analyze user engagement on Stack Exchange, a platform covering diverse domains, following the introduction of ChatGPT in November 2022.