Dr. Christine V. Marquis, a Fellow-in-Residence at the University of Phoenix College of Doctoral Studies Center for Organizational Wellness, Engagement and Belonging (CO-WEB), presented research on the ethical use of artificial intelligence (AI) in recruitment at the TCC 2026 Worldwide Online Conference. The study explores how organizations balance efficiency and innovation with ethical responsibility across the hiring process.
Overview
The research identifies several critical themes shaping the use of AI in hiring, including the need for human oversight, transparency, and explainability to build candidate trust. It also highlights the risks of bias and misuse, and the importance of candidate experience and personalization.
Key Findings
The study recommends that organizations adopt clear governance practices, including:
- Plain-language disclosures
- Documented human review of AI-supported decisions
- Accessible pathways for candidate feedback or appeal The research also emphasizes the importance of human stewardship, which refers to the role of individuals and organizations in overseeing, interpreting, and governing AI-driven processes to ensure ethical and equitable outcomes.
Tradeoffs
The study suggests that organizations must balance the benefits of AI in hiring, such as increased efficiency, with the potential risks and drawbacks, including bias and lack of transparency. By adopting clear governance practices and prioritizing human stewardship, organizations can ensure that AI is used in a way that supports fairness, transparency, and candidate dignity.
In conclusion, the use of AI in hiring requires careful consideration of ethical implications and responsible implementation. By prioritizing human oversight, transparency, and accountability, organizations can ensure that AI is used in a way that supports fair and equitable hiring practices.