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Workshop CfP: The Use of Large Language Models (LLMs) in Communication & HCI Research

  • 1.  Workshop CfP: The Use of Large Language Models (LLMs) in Communication & HCI Research

    Posted 02-06-2024 10:16
    Edited by Casey Randazzo 02-06-2024 10:23

    CfP: Hybrid Workshop on the Use of Large Language Models (LLMs) in Research on May 12, 2024 at CHI 2024
    Submit abstracts by Feb 22 → http://tinyurl.com/lart2024

    Large Language Models (LLMs), like OpenAI's GPT and Google's BERT, reflect the newest advancements in artificial intelligence (AI). Such tools offer the ability to examine vast amounts of textual data, facilitate qualitative coding, and assist in thematic analysis, helping to unveil deeper insights on communicative processes. While LLMs present exciting opportunities for communication and human-computer interaction (HCI) scholars, we are in need of best practices and standards that ensure the ethical application of LLMs in research contexts.

    Help develop standards that guide future scholars when using LLMs for academic research. Submit an abstract by Feb 22 or visit our website. 

    In this workshop, we will discuss the following open questions:

    • Bias and representation: How can we address potential biases in LLM data, considering that these models are trained on datasets that can reflect inherent societal biases?

    • Data privacy: What ethical guidelines and practices should be established to manage privacy concerns when using LLMs in analyzing public or private communications?

    • Data interpretation and model dependence: What strategies can we implement to increase transparency and accountability in research using LLMs, given the "black box" nature of these models?

    • Evolving norms and standards: What standards and best practices do we need to develop and update to ensure that LLMs align with ethical considerations and the methodological rigor of our field?

    • Methods: How are LLM-based methods being used to work with data in research?

    • Evaluation: What empirical evaluation strategies are acceptable to the community for establishing validity of data work conducted with LLMs?

    Additional Details

    • Workshop:

      • Sunday, May 12, 2024

    • Hybrid workshop: In-person or virtual  

    • Part of the Computer Human Interaction 2024 Conference 

    Email Casey Randazzo at cer124@rutgers.edu from the L*ART Organizing Team if you have any questions.



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    Casey Randazzo
    Ph.D. Student
    Rutgers University
    Somerville NJ
    United States
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