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University of Limerick study finds greater trust in humanlike AI assistants and a gender gap in resource allocationMachine translation

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In a virtual office experiment, 189 knowledge workers collaborated with AI colleagues that used the same underlying model but had different appearances. Humanlike agents received higher trust and credibility ratings and more subsequent development resources. The female-presenting agent received significantly fewer resources than the male-presenting agent, despite no significant difference in their trust or credibility ratings.

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IT Home reported on October 26 that researchers at the University of Limerick in Ireland said in a research paper published earlier this month that, in an experiment involving 189 knowledge workers, people preferred AI agents with humanlike appearances, but also showed gender bias.

Participants worked with 3 AI agent colleagues based on the same underlying model in a virtual office. The 3 virtual colleagues appeared as a text chat window, a small virtual robot, and a humanlike figure, respectively; the humanlike figure had 2 versions, a female one named "Johanna" and a male one named "Johan". After working with the agents, participants rated each AI assistant and allocated resources for further development based on its performance.

The results showed that humanlike figures received higher levels of trust, credibility, and "pay" than the more robotic agents. There was no significant difference between "Johanna" and "Johan" in trust or credibility, but the feminized "Johanna" still received statistically significantly lower "pay" than her male "colleague," even though most participants interviewed did not think virtual "gender" would affect their feedback.

Other noteworthy findings included that the text chat window and small virtual robot received comparable ratings for trust and credibility, "Johann" received a significantly lower rating for human likeness than "Johan," and participants preferred the appearance of "Johann" as an AI assistant.

Reference

https://dl.acm.org/doi/10.1145/3829807.3829910

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