利用儿童信任发展建模社会化聊天机器人:从Tay学到的经验

Oliver Bridge, Rebecca Raper, Nicola Strong, S. Nugent
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引用次数: 1

摘要

2016年,微软发布了Tay。ai到Twittersphere,这是一个旨在扮演千禧一代女孩的会话聊天机器人。然而,他们最终在不到24小时内关闭了Tay的账户,因为Tay从其在线互动中学会了在推特上发表种族主义和性别歧视言论。从道德作为合作的理论和信任在社会化发展心理学中的地位中获得灵感,我们提供了一个多学科和实用的方法,以从Tay的经验中吸取教训,创造一个在学习中更具选择性的聊天机器人,从而抵制像Tay那样变得不道德。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling a socialised chatbot using trust development in children: lessons learnt from Tay
In 2016 Microsoft released Tay.ai to the Twittersphere, a conversational chatbot that was intended to act like a millennial girl. However, they ended up taking Tay's account down in less than 24 h because Tay had learnt to tweet racist and sexist statements from its online interactions. Taking inspiration from the theory of morality as cooperation, and the place of trust in the developmental psychology of socialisation, we offer a multidisciplinary and pragmatic approach to build on the lessons learnt from Tay's experiences, to create a chatbot that is more selective in its learning, and thus resistant to becoming immoral the way Tay did.
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