Search Results for author: Pamela Wisniewski

Found 4 papers, 0 papers with code

Leveraging Large Language Models (LLMs) to Support Collaborative Human-AI Online Risk Data Annotation

no code implementations11 Apr 2024 Jinkyung Park, Pamela Wisniewski, Vivek Singh

Therefore, we provide some of the early benefits and challenges of using LLMs-based tools for risk annotation and suggest future directions for the HCI research community to leverage LLMs as research tools to facilitate human-AI collaboration in contextualized online data annotation.

Toward Safe Evolution of Artificial Intelligence (AI) based Conversational Agents to Support Adolescent Mental and Sexual Health Knowledge Discovery

no code implementations3 Apr 2024 Jinkyung Park, Vivek Singh, Pamela Wisniewski

Following the recent release of various Artificial Intelligence (AI) based Conversation Agents (CAs), adolescents are increasingly using CAs for interactive knowledge discovery on sensitive topics, including mental and sexual health topics.

Leveraging Opposite Gender Interaction Ratio as a Path towards Fairness in Online Dating Recommendations Based on User Sexual Orientation

no code implementations19 Feb 2024 Yuying Zhao, Yu Wang, Yi Zhang, Pamela Wisniewski, Charu Aggarwal, Tyler Derr

While recommender systems have been designed to improve the user experience in dating platforms by providing personalized recommendations, increasing concerns about fairness have encouraged the development of fairness-aware recommender systems from various perspectives (e. g., gender and race).

Fairness Recommendation Systems +1

Algorithmic Robustness

no code implementations17 Oct 2023 David Jensen, Brian LaMacchia, Ufuk Topcu, Pamela Wisniewski

Algorithmic robustness refers to the sustained performance of a computational system in the face of change in the nature of the environment in which that system operates or in the task that the system is meant to perform.

Fairness

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