| Autor: |
Campion, Emily D., Campion, Michael A, Chekili, Amal, Hernandez, Ivan, Sylvara, Ashley, Sun, Tianjun, Stockdale, Kayden, Liu, Siyi, Ansari, Ammar, Hickman, Louis, Speer, Andrew, Perrotta, James |
| Zdroj: |
Academy of Management Annual Meeting Proceedings; 2024, Vol. 2024 Issue 1, pN.PAG-N.PAG, 1p |
| Abstrakt: |
A recent slew of scholarship in organizational psychology and management journals on the use of artificial intelligence (AI) in human resource management (HRM) is evidence of its growing importance in theory and practice (e.g., Campion & Campion, 2023; Campion et al., 2023; Fan et al., 2023; Hernandez et al., 2023; Hickman et al., 2022; Koenig et al., 2023; Landers et al., 2023; Speer et al., 2023; Zhang et al., 2023). Advancements such as large language models (LLMs; FALCON, GPT, LLaMa, Bard, Claude, etc.) have made the use of AI more accessible to non-data scientists and enabled widespread exploration of how to leverage these tools at work. While this is an exciting development, as researchers in the selection space, it is our responsibility to be able to understand and explain how we arrive at employment-related decisions powered by AI tools. As such, in the proposed symposium, we assess a variety of uses of natural language processing (NLP) applications. We present research on the more rudimentary methods of word dictionaries that are cost-effective, easy to understand, and relatively easy to develop; and we also present research on LLMs and how we can use these to improve resource intensive HRM processes. NLP Dictionaries of Competencies and Personality Traits for Personnel Selection Author: Emily D. Campion; U. of Iowa Author: Michael A Campion; Purdue U. Applying NLP and Generative Text Models to Understand the Dimensionality of CWBs Author: Amal Chekili; Virginia Tech Author: Ivan Hernandez; Virginia Tech Using Transformers to Assess Traits and States via Personality Narratives with Chatbots Author: Ashley Sylvara; Kansas State U. Author: Tianjun Sun; Rice U. Scoring Interviews with Large Language Models: Initial Validity Evidence Author: Kayden Stockdale; Virginia Tech Author: Siyi Liu; Virginia Tech Author: Ammar Ansari; Virginia Tech Author: Louis Hickman; The Wharton School, U. of Pennsylvania General-Purpose Large Language Models and Supervised Learning with Organizational Text Author: Andrew Speer; Indiana U. - Kelley School of Business Author: James Perrotta; Wayne State U. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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