Search Results - "Feng, K. J. Kevin"

Mapping the Design Space of Teachable Social Media Feed Experiences by Feng, K. J. Kevin, Koo, Xander, Tan, Lawrence, Bruckman, Amy, McDonald, David W, Zhang, Amy X

“…Social media feeds are deeply personal spaces that reflect individual values and preferences. However, top-down, platform-wide content algorithms can reduce…”
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Understanding Collaborative Practices and Tools of Professional UX Practitioners in Software Organizations by Feng, K. J. Kevin, Li, Tony W, Zhang, Amy X

“…User experience (UX) has undergone a revolution in collaborative practices, due to tools that enable quick feedback and continuous collaboration with a varied…”
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Addressing UX Practitioners' Challenges in Designing ML Applications: an Interactive Machine Learning Approach by Feng, K. J. Kevin, McDonald, David W

“…UX practitioners face novel challenges when designing user interfaces for machine learning (ML)-enabled applications. Interactive ML paradigms, like AutoML and…”
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How Do UX Practitioners Communicate AI as a Design Material? Artifacts, Conceptions, and Propositions by Feng, K. J. Kevin, Coppock, Maxwell James, McDonald, David W

“…UX practitioners (UXPs) face novel challenges when working with and communicating artificial intelligence (AI) as a design material. We explore how UXPs…”
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SPICA: Retrieving Scenarios for Pluralistic In-Context Alignment by Chen, Quan Ze, Feng, K. J. Kevin, Park, Chan Young, Zhang, Amy X

“…Alignment of large language models (LLMs) to societal values should account for pluralistic values from diverse groups. One technique uses in-context learning…”
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Policy Prototyping for LLMs: Pluralistic Alignment via Interactive and Collaborative Policymaking by Feng, K. J. Kevin, Cheong, Inyoung, Chen, Quan Ze, Zhang, Amy X

“…Emerging efforts in AI alignment seek to broaden participation in shaping model behavior by eliciting and integrating collective input into a policy for model…”
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(A)I Am Not a Lawyer, But...: Engaging Legal Experts towards Responsible LLM Policies for Legal Advice by Cheong, Inyoung, Xia, King, Feng, K. J. Kevin, Chen, Quan Ze, Zhang, Amy X

“…Large language models (LLMs) are increasingly capable of providing users with advice in a wide range of professional domains, including legal advice. However,…”
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Case Repositories: Towards Case-Based Reasoning for AI Alignment by Feng, K. J. Kevin, Chen, Quan Ze, Cheong, Inyoung, Xia, King, Zhang, Amy X

“…Case studies commonly form the pedagogical backbone in law, ethics, and many other domains that face complex and ambiguous societal questions informed by human…”
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Examining the Impact of Provenance-Enabled Media on Trust and Accuracy Perceptions by Feng, K. J. Kevin, Ritchie, Nick, Blumenthal, Pia, Parsons, Andy, Zhang, Amy X

“…In recent years, industry leaders and researchers have proposed to use technical provenance standards to address visual misinformation spread through digitally…”
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Canvil: Designerly Adaptation for LLM-Powered User Experiences by Feng, K. J. Kevin, Liao, Q. Vera, Xiao, Ziang, Vaughan, Jennifer Wortman, Zhang, Amy X, McDonald, David W

“…Advancements in large language models (LLMs) are sparking a proliferation of LLM-powered user experiences (UX). In product teams, designers often craft UX to…”
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IdeaSynth: Iterative Research Idea Development Through Evolving and Composing Idea Facets with Literature-Grounded Feedback by Pu, Kevin, Feng, K. J. Kevin, Grossman, Tovi, Hope, Tom, Mishra, Bhavana Dalvi, Latzke, Matt, Bragg, Jonathan, Chang, Joseph Chee, Siangliulue, Pao

“…Research ideation involves broad exploring and deep refining ideas. Both require deep engagement with literature. Existing tools focus primarily on idea broad…”
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