Machine Learning Uncertainty as a Design Material: A Post-Phenomenological Inquiry

11 January 2021

Papers citing "Machine Learning Uncertainty as a Design Material: A Post-Phenomenological Inquiry"

4 / 4 papers shown

Title
AI Mismatches: Identifying Potential Algorithmic Harms Before AI Development Devansh Saxena Ji-Youn Jung J. Forlizzi Kenneth Holstein J. Zimmerman 55 0 0 25 Feb 2025
Canvil: Designerly Adaptation for LLM-Powered User Experiences K. J. Kevin Feng Q. V. Liao Ziang Xiao Jennifer Wortman Vaughan Amy X. Zhang David W. McDonald 26 16 0 17 Jan 2024
Addressing UX Practitioners' Challenges in Designing ML Applications: an Interactive Machine Learning Approach K. J. Kevin Feng David W. McDonald HAI 13 11 0 23 Feb 2023
Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience Q. V. Liao Hariharan Subramonyam Jennifer Wang Jennifer Wortman Vaughan HAI 10 58 0 21 Feb 2023