Human Centered AI-Institute Research Seminar and Socialization Series

Note: Topics and Abstracts will be added to this page throughout the semester

We bring together a group of research faculty and doctoral students at UH (and other institutions) who are mutually interested in AI and human behavior. Presentations are for the benefit of the speaker, intended to endow them with feedback from other top-level researchers. The seminars also allow us to refine our products prior to the publication process such that we can be confident that we are properly informing the general public on the topical technology of AI which attracts many readers outside of academics. And we provide lunch which enables conversation with peers about research aside from that which is presented each week and bolsters collaboration within the C. T. Bauer College of Business.

Date Speaker Topic Faculty Host
10/30/2024
290G MH
12:30-2 		Shubham Akshat
    Impact of Regulation on Deceased-Donor Liver Offer Acceptance and Patient Welfare
Josh Kaisen
9/25/2024
290G MH
12:30-2:00 		Jingyi Tian
    Bidding Behavior of Deep Learning Algorithms
6/4/2024
290G MH
12:30-1:30 		Josh Kaisen
    AI in Content Creation: The Impact of ChatGPT's Release on Blogging

  • Click to read Abstract

    Artificial intelligence (AI) is one of the fastest-growing technologies in history, offering innovative tools that can enhance the creative process. In this paper, we present a quasi-experiment that examines the influence of ChatGPT's public release on the output of adopters. We study bloggers on Medium.com and measure AI use with the least biased detection tool available at the time of writing this paper. We use Coarsened Exact Matching to balance our analysis sample with ChatGPT adopters and similar bloggers that do not adopt. We then perform a differences-in-differences analysis around ChatGPT's release with this sample. We find that ChatGPT's release increases the productivity of adopters, decreases the number of comments on their work, and increases the novelty of their content relative to other bloggers but not relative to past work. The effect on productivity is persistent over the three months following ChatGPT's release. We partition our sample by blogger following and their propensity to write in technology-based categories prior to ChatGPT to find that the popularity decline is unique to popular non-tech bloggers who use ChatGPT to alter the categories they write within we posit that the effect is driven by the disengagement of the existing audience for these bloggers with the new content rather than a decline in the quality of work produced using ChatGPT. These results imply that generative AI may boost productivity without sacrificing originality nor losing the blogger's unique voice, but bloggers using ChatGPT to deviate from their typical content may suffer popularity declines. Thus we conclude that ChatGPT expands the production function as observable productivity increases without significant quality declines.

Josh Kaisen