25 citations · 27 across the 7 of their papers we have counts for
8 papers · 1 filter
Living with AI Companions: Sustained AI Companionship Predicts Lower Well-Being Through Lower Human Interaction
Yutong Zhang, Dora Zhao, Yixin Wang +4
AI chatbots are increasingly used for companionship, emotional support, and personal self-disclosure; however, how social engagement with these systems unfolds over time and shapes…
Behavior Latticing: Inferring User Motivations from Unstructured Interactions
Dora Zhao, Michelle S. Lam, Diyi Yang +1
A long-standing vision of computing is the personal AI system: one that understands us well enough to address our underlying needs. Today's AI focuses on what users do, ignoring wh…
Whose Knowledge Counts? Co-Designing Community-Centered AI Auditing Tools with Educators in Hawai`i
Dora Zhao, Hannah Cha, Michael J. Ryan +5
Although generative AI is being deployed into classrooms with promises of aiding teachers, educators caution that these tools can have unintended pedagogical repercussions, includi…
Value Alignment of Social Media Ranking Algorithms
Farnaz Jahanbakhsh, Dora Zhao, Tiziano Piccardi +4
While social media feed rankings are primarily driven by engagement signals rather than any explicit value system, the resulting algorithmic feeds are not value-neutral: engagement…
The Rise of AI Companions: Interaction with AI Companions and Psychological Well-being
Yutong Zhang, Dora Zhao, Jeffrey T. Hancock +2
As large language model (LLM)-enhanced chatbots become increasingly expressive and socially responsive, many users begin forming companionship-like bonds with them. This study inve…
Alexandria: A Library of Pluralistic Values for Realtime Re-Ranking of Social Media Feeds
Akaash Kolluri, Renn Su, Farnaz Jahanbakhsh +3
Social media feed ranking algorithms fail when they too narrowly focus on engagement as their objective. The literature has asserted a wide variety of values that these algorithms…
Knoll: Creating a Knowledge Ecosystem for Large Language Models
Dora Zhao, Diyi Yang, Michael S. Bernstein
Large language models are designed to encode general purpose knowledge about the world from Internet data. Yet, a wealth of information falls outside this scope -- ranging from per…
SPHERE: An Evaluation Card for Human-AI Systems
Qianou Ma, Dora Zhao, Xinran Zhao +6
In the era of Large Language Models (LLMs), establishing effective evaluation methods and standards for diverse human-AI interaction systems is increasingly challenging. To encoura…