Today, conversations automated by algorithms and delivered via screens seek to heal wounds such as substance use disorders, wartime traumas, and a global pandemic. This article explores the relationship between painful conversations, automated discourse, and public action. By articulating what is lost when therapeutic conversations are had with artificial intelligence, I illustrate that painful, human conversations expand capacities—contextualizing, norm-building, and caring—that are necessary for the public reparation of wounds.

中文翻译：

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痛苦的谈话：治疗性聊天机器人和公共能力

如今，通过算法自动进行并通过屏幕进行的对话旨在治愈伤口，例如药物滥用，战时创伤和全球性大流行。本文探讨了痛苦的谈话，自动话语和公众行为之间的关系。通过阐明与人工智能进行治疗性对话时所失去的东西，我说明了痛苦的人类对话扩大了能力，即情境化，规范化和关怀性，这是公共修复伤口所必需的。