This study investigates the impact of two cognitive biases, anthropomorphism and framing effect, on human-AI collaboration in the context of hiring decision-making. An experiment was designed to simulate the screening phase of the recruitment process, where companies are already using AI-based tools.
The key findings are:
Framing of the AI recommendation did not significantly affect the degree to which the human conformed to it. Providing additional information about the candidates alongside the AI recommendations may have had a debiasing effect, shifting subjects' attention away from the frame.
Anthropomorphism had a significant impact on agreement rates. Contrary to expectations, subjects were less likely to agree with the AI if it had human-like or robot-like characteristics compared to a generic AI. This suggests that in certain contexts, a more neutral AI identity may be preferable to enhance human-AI collaboration.
The results demonstrate that cognitive biases can impact human-AI collaboration and highlight the need for tailored approaches to AI product design, rather than a single, universal solution. Further research is needed to fully understand the role of human perception and cognition in shaping effective human-AI interactions across different domains.
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