13 citations · 42 across the 8 of their papers we have counts for
8 papers
Competing Visions of Ethical AI: A Case Study of OpenAI
Melissa Wilfley, Mengting Ai, Madelyn Rose Sanfilippo
Introduction. AI Ethics is framed distinctly across actors and stakeholder groups. We report results from a case study of OpenAI analysing ethical AI discourse. Method. Research ad…
"Sora is Incredible and Scary": Emerging Governance Challenges of Text-to-Video Generative AI Models
Kyrie Zhixuan Zhou, Abhinav Choudhry, Ece Gumusel +1
Text-to-video generative AI models such as Sora OpenAI have the potential to disrupt multiple industries. In this paper, we report a qualitative social media analysis aiming to unc…
User Privacy Harms and Risks in Conversational AI: A Proposed Framework
Ece Gumusel, Kyrie Zhixuan Zhou, Madelyn Rose Sanfilippo
This study presents a unique framework that applies and extends Solove (2006)'s taxonomy to address privacy concerns in interactions with text-based AI chatbots. As chatbot prevale…
Revitalizing Sex Education for Chinese Children: A Formative Study
Kyrie Zhixuan Zhou, Yilin Zhu, Jingwen Shan +2
Sex education helps children obtain knowledge and awareness of sexuality, and protects them against sexually transmitted diseases, pregnancy, and sexual abuse. Sex education is not…
"The teachers are confused as well": A Multiple-Stakeholder Ethics Discussion on Large Language Models in Computing Education
Kyrie Zhixuan Zhou, Zachary Kilhoffer, Madelyn Rose Sanfilippo +5
Large Language Models (LLMs) are advancing quickly and impacting people's lives for better or worse. In higher education, concerns have emerged such as students' misuse of LLMs and…
Public Perceptions of Gender Bias in Large Language Models: Cases of ChatGPT and Ernie
Kyrie Zhixuan Zhou, Madelyn Rose Sanfilippo
Large language models are quickly gaining momentum, yet are found to demonstrate gender bias in their responses. In this paper, we conducted a content analysis of social media disc…
"I'm Not Confident in Debiasing AI Systems Since I Know Too Little": Teaching AI Creators About Gender Bias Through Hands-on Tutorials
Kyrie Zhixuan Zhou, Jiaxun Cao, Xiaowen Yuan +4
Gender bias is rampant in AI systems, causing bad user experience, injustices, and mental harm to women. School curricula fail to educate AI creators on this topic, leaving them un…
Virtual Classrooms and Real Harms: Remote Learning at U.S. Universities
Shaanan Cohney, Ross Teixeira, Anne Kohlbrenner +4
Universities have been forced to rely on remote educational technology to facilitate the rapid shift to online learning. In doing so, they acquire new risks of security vulnerabili…