Investigating and Designing for Trust in AI-powered Code Generation Tools

18 May 2023

Papers citing "Investigating and Designing for Trust in AI-powered Code Generation Tools"

8 / 8 papers shown

Title
Mapping Trustworthiness in Large Language Models: A Bibliometric Analysis Bridging Theory to Practice José Antonio Siqueira de Cerqueira Kai-Kristian Kemell Muhammad Waseem Rebekah A. Rousi Nannan Xi Juho Hamari 54 3 0 27 Feb 2025
Generative AI Uses and Risks for Knowledge Workers in a Science Organization Kelly B. Wagman Matthew T. Dearing Marshini Chetty AI4CE 31 0 0 27 Jan 2025
In-IDE Human-AI Experience in the Era of Large Language Models; A Literature Review Agnia Sergeyuk Sergey Titov M. Izadi 26 6 0 19 Jan 2024
Validating AI-Generated Code with Live Programming Kasra Ferdowsi Ruanqianqian Huang M. James Nadia Polikarpova Sorin Lerner 19 13 0 15 Jun 2023
Enabling Conversational Interaction with Mobile UI using Large Language Models Bryan Wang Gang Li Yang Li 171 132 0 18 Sep 2022
Grounded Copilot: How Programmers Interact with Code-Generating Models Shraddha Barke M. James Nadia Polikarpova 136 212 0 30 Jun 2022
Productivity Assessment of Neural Code Completion Albert Ziegler Eirini Kalliamvakou Shawn Simister Ganesh Sittampalam Alice Li Andrew Rice Devon Rifkin E. Aftandilian 102 176 0 13 May 2022
Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI Alon Jacovi Ana Marasović Tim Miller Yoav Goldberg 241 417 0 15 Oct 2020