OpenAI Forum will be hosting a recent virtual conversation with Eric B. Zhou on July 9th. boston university Ph.D., focused on methods AI image generation Tools are influencing the creative process of artists and other creators.
OpenAI Global Affairs announced the session in a LinkedIn post, describing the event as a discussion of how text-to-image tools can help artists explore ideas, test more options, and refine their work.
The session titled Artists and AI: Expanding the creative processis scheduled for Thursday, July 9th.
Mr. Chou recently completed his PhD in Information Systems from Boston University. His research focuses on how generative AI impacts human behavior and labor market dynamics in the creative economy, as well as platform policies, AI usage, and data governance.
OpenAI Global Affairs said the discussion will discuss how image generation tools can lower barriers to entry into creative work. The materials provided did not include registration details, participation limits, or whether recordings would be available after the session.
research focus
Zhou’s research examines how artists are using text-to-image systems to experiment with more options, refine ideas, and curate their work, according to OpenAI Global Affairs.
The event description reads, “AI is changing creative work in ways that are more interesting than the usual automation story.”
This session will also discuss how human judgment remains central to AI-supported creative work. According to the event description, the conversation will discuss “where AI can give creators more room to experiment, where human sense and judgment still matters most, and what new tools are needed to widen participation without flattening creative voices.”
Mr. Chou’s educational background includes a PhD from Boston University, an MBA from Carnegie Mellon University, and master’s and bachelor’s degrees from Washington University in St. Louis.
Zhou is a social scientist who studies how generative AI reshapes human behavior and labor markets in the creative economy. His research also covers the effectiveness of platform policy interventions related to the use of AI and data governance. His research aims to identify “normative solutions that address the structural and regulatory challenges of AI disruption in the arts,” according to his biography.
Prior to his academic career, he worked as a machine learning contractor and in marketing analytics, including roles at Angel Flight West and Nielsen.
