给AI分配性别会影响人类合作意愿，暴露了隐性偏见。
AI's assigned gender affects human-AI cooperation
- 用囚徒困境实验测试不同性别标签对人机合作的影响
- 女性标签AI遭更多剥削，男性标签AI更不被信任
- 提醒设计者关注性别偏见，避免算法加剧社会不公
随着人工智能日益融入日常生活，人机协作变得愈发重要。研究表明，人们往往不愿与AI合作，更倾向于利用AI谋取私利。尽管已有研究发现赋予AI类人特征会影响人类协作意愿，但其性别标签的影响仍不明确。本研究通过囚徒困境游戏，让402名参与者与标为AI（bot）或人类的搭档互动，搭档又被标记为男性、女性、非二元或无性别。结果表明，参与者更倾向于剥削标为女性的AI，也更不信任标为男性的AI，表现出与人际互动中相似的性别偏见。这些发现凸显了人机交互中性别偏见的重要性，未来政策制定、交互式AI设计及使用监管必须予以考虑。
原文摘要 · Abstract (English)
Cooperation between humans and machines is increasingly vital as artificial intelligence (AI) becomes more integrated into daily life. Research indicates that people are often less willing to cooperate with AI agents than with humans, more readily exploiting AI for personal gain. While prior studies have shown that giving AI agents human-like features influences people's cooperation with them, the impact of AI's assigned gender remains underexplored. This study investigates how human cooperation varies based on gender labels assigned to AI agents with which they interact. In the Prisoner's Dilemma game, 402 participants interacted with partners labelled as AI (bot) or humans. The partners were also labelled male, female, non-binary, or gender-neutral. Results revealed that participants tended to exploit female-labelled and distrust male-labelled AI agents more than their human counterparts, reflecting gender biases similar to those in human-human interactions. These findings highlight the significance of gender biases in human-AI interactions that must be considered in future policy, design of interactive AI systems, and regulation of their use.
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