Research led by Co-Director Aylin Caliskan is bringing forward questions about how to address bias in the hiring process that emerges when humans work with AI systems.

“No Thoughts Just AI: Biased LLM Hiring Recommendations Alter Human Decision Making and Limit Human Autonomy,” presented in October at the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society in Madrid, illustrates how human decisions in hiring are impacted by AI recommendations.

In an article in UW News, Caliskan noted the wide-reaching impacts of the research.

“People have agency, and that has huge impact and consequences, and we shouldn’t lose our critical thinking abilities when interacting with AI,” Caliskan said. “But I don’t want to place all the responsibility on people using AI. The scientists building these systems know the risks and need to work to reduce systems’ biases. And we need policy, obviously, so that models can be aligned with societal and organizational values.”

Read the full article here.