Governing and Integrating AI in a New Age of Technology and HRM Practices
作者
Alexis Avery,MaQueba Massey,Quinetta M. Roberson,Drew Jauron,Kenneth G. Brown,Ashley L. Sylvara,Tianjun Sun,Brian Robert Lattimore,Emily D. Campion,Anika Jain,Ayenda Kemp
Artificial intelligence, in particular generative AI, is revolutionizing human resource management, offering innovative solutions to enhance workplace practices such as selection, training and onboarding, and algorithmic task decision-making. Broadly defined as a tool to create and mimic new content, ideas, or data that resembles human-generated output, organizations increasingly rely on AI to streamline processes, and questions arise about how these technologies shape workplace equity, power dynamics, and employee outcomes. While AI has the potential to improve efficiency and fairness, its implementation also poses challenges, including ethical concerns and unintended biases. This symposium aims to explore how AI can be thoughtfully integrated into HRM to foster inclusive, effective, and equitable practices. Interview Preparation with Generative AI: Can an LLM Help You Tell Your Story? Author: Drew Jauron; Author: Kenneth G. Brown; University of Iowa Personality-Based Employment Interview with an AI Chatbot: Faking and Fairness Author: Ashley Sylvara; Kansas State University Author: Tianjun Sun; Rice University Mitigating Gender and Racial Bias in Selection with AI Author: Alexis Avery; Author: MaQueba Massey; Iowa State University Author: Quinetta M. Roberson; Michigan State University Generative AI, Expertise, and Changing Team Dynamics Author: Brian Robert Lattimore; Stanford University Clarifying the Prediction-Explainability Tradeoff of Machine Learning in Personnel Selection Author: Emily D. Campion; University of Iowa Author: Anika Jain; University of Iowa