Boosting Robot Credibility and Challenging Gender Norms in Responding to Abusive Behaviour: A Case for Feminist Robots
Boosting Robot Credibility and Challenging Gender Norms in Responding to Abusive Behaviour: A Case for Feminist Robots
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提高机器人可信度并挑战性别规范来应对虐待行为：女权主义机器人的案例
DOI：
10.1145/3434074.3446910
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Iolanda Leite
中科院分区：
文献类型：
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作者：
Katie Winkle;G. I. Melsión;Donald Mcmillan;Iolanda Leite
受联合国教科文组织最近的报告《如果可以的话，我会脸红》的启发，我们通过探索女权主义社会机器人行为对人机交互的影响，解决了一些关于性别化人工智能的问题。具体来说，我们考虑（i）使用社交机器人来鼓励女孩考虑学习机器人（以及在这种情况下表达女权主义情绪），（ii）机器人是否/如何应对虐待和反女权主义情绪，以及（iii）如何设计（“女性”）机器人来挑战当前基于性别的预期行为规范。我们证明，虽然机器人，用户和观察者性别之间存在复杂的相互作用，但我们能够增加女孩对机器人可信度的看法，并减少男孩的性别偏见。我们认为，我们的工作为反对当前的数字助理/传统人类基于性别的规范提供了积极的证据，以及机器人在减少我们的性别偏见方面可能发挥的未来作用。
Inspired by the recent UNESCO report I'd Blush if I Could, we tackle some of the issues regarding gendered AI through exploring the impact of feminist social robot behaviour on human-robot interaction. Specifically we consider (i) use of a social robot to encourage girls to consider studying robotics (and expression of feminist sentiment in this context), (ii) if/how robots should respond to abusive, and antifeminist sentiment and (iii) how ('female') robots can be designed to challenge current gender-based norms of expected behaviour. We demonstrate that whilst there are complex interactions between robot, user and observer gender, we were able to increase girls' perceptions of robot credibility and reduce gender bias in boys. We suggest our work provides positive evidence for going against current digital assistant/traditional human gender-based norms, and the future role robots might have in reducing our gender biases.