Emalinda McSpadden, Associate Professor, Social Sciences, BCC
Learning Modalities
NL-137
As the use and navigation of AI language models increases among students, their ability to see themselves accurately and
fully represented by AI chatbots using such models is sometimes met with barriers of bias. As racist, homophobic and
transphobic language is produced and hopefully corrected by numerous models and chatbots, students must both
understand the ethical issues surrounding the use of such tools while also critically exploring AI representations and
reflections of their identities and experiences. This presentation reports on a project undertaken by the LGBTQI+ Resource
Room at Bronx Community College through its QueerLit Book Club, wherein students explored queer topics and prompts
using ChatGPT to generate stories and responses for them to explore and critique. It is hoped that through additional
projects such as this, more and more consideration will be given to the ongoing issues of bias and heteronormativity in AI
language models and the chatbots on which they rely.
fully represented by AI chatbots using such models is sometimes met with barriers of bias. As racist, homophobic and
transphobic language is produced and hopefully corrected by numerous models and chatbots, students must both
understand the ethical issues surrounding the use of such tools while also critically exploring AI representations and
reflections of their identities and experiences. This presentation reports on a project undertaken by the LGBTQI+ Resource
Room at Bronx Community College through its QueerLit Book Club, wherein students explored queer topics and prompts
using ChatGPT to generate stories and responses for them to explore and critique. It is hoped that through additional
projects such as this, more and more consideration will be given to the ongoing issues of bias and heteronormativity in AI
language models and the chatbots on which they rely.