Mentor/s
Professor Bora Kwon
Participation Type
Poster
Abstract
Bias in recruitment has long hindered progress toward equitable and inclusive workplaces. Traditional hiring practices are often shaped by unconscious human biases, prompting the emergence of artificial intelligence (AI) as a potential solution for fairer, data-driven decision-making. However, research shows that AI tools trained on historical data may inherit and even amplify existing biases, raising critical concerns about transparency and fairness (Binns, 2018; Cowgill, Dell’Acqua, & Deng, 2021; Raghavan et al., 2020). This study explores whether AI can truly deliver bias-free hiring or if that remains a myth. By examining current research and industry applications, the study investigates the intersection of AI and diversity, equity, and inclusion (DEI), evaluating how algorithmic hiring affects representation and fairness in the workplace. The primary objective is to assess both the opportunities and limitations of AI in recruitment, offering evidence-based recommendations for organizations to responsibly implement AI while maintaining ethical oversight. Ultimately, the study emphasizes that AI can support DEI goals only when developed and deployed with intentionality, transparency, and continuous human oversight.
College and Major available
Welch College of Business, Finance BS, Management BS
Academic Level
Undergraduate student
Location
Digital Commons & West Campus West Building University Commons
Start Day/Time
4-25-2025 12:00 PM
End Day/Time
4-25-2025 2:00 PM
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
Prize Categories
Best Multidisciplinary Research or Collaboration, Most Scholarly Impact or Potential, Most Transformative for Social Justice, Best Visuals, Most Creative, Best Writing
Tech Meets Inclusion: Investigating AI’s Role in Fair and Diverse Hiring
Digital Commons & West Campus West Building University Commons
Bias in recruitment has long hindered progress toward equitable and inclusive workplaces. Traditional hiring practices are often shaped by unconscious human biases, prompting the emergence of artificial intelligence (AI) as a potential solution for fairer, data-driven decision-making. However, research shows that AI tools trained on historical data may inherit and even amplify existing biases, raising critical concerns about transparency and fairness (Binns, 2018; Cowgill, Dell’Acqua, & Deng, 2021; Raghavan et al., 2020). This study explores whether AI can truly deliver bias-free hiring or if that remains a myth. By examining current research and industry applications, the study investigates the intersection of AI and diversity, equity, and inclusion (DEI), evaluating how algorithmic hiring affects representation and fairness in the workplace. The primary objective is to assess both the opportunities and limitations of AI in recruitment, offering evidence-based recommendations for organizations to responsibly implement AI while maintaining ethical oversight. Ultimately, the study emphasizes that AI can support DEI goals only when developed and deployed with intentionality, transparency, and continuous human oversight.
Students' Information
Lindsey Tortora
Major: Finance & Business Management
Minor: Human Resource Management
Honors Student
Year of Graduation: 2025
Winner, Most Scholarly Impact or Potential 2025 Award
Winner, Dean's Prize: Welch College of Business & Technology 2025 Award