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cover of episode The last human job: AI, depersonalization and the industrial clock

The last human job: AI, depersonalization and the industrial clock

2025/2/19
logo of podcast LSE: Public lectures and events

LSE: Public lectures and events
AI Deep Dive AI Chapters Transcript
People
A
Alison Pugh
S
Sonia Livingstone
Topics
Alison Pugh: 我研究了依赖人际情感连接的职业（如教师、治疗师、护士等），探讨了将这些工作系统化后会发生什么。我发现，人工智能的应用带来了机遇和挑战。一方面，人工智能可以提高效率，解决服务不均等的问题，并提供比人类更客观、更全面的服务。另一方面，人工智能也可能导致去个性化危机，削弱人际连接，让人们感到被忽视和不被理解。我们需要在利用人工智能提高效率的同时，保护人际连接，避免其负面影响。 Sonia Livingstone: 我介绍了 Alison Pugh 教授及其研究，并指出人工智能的应用引发了人们对工作、偏见和隐私问题的担忧。然而，我们也需要关注人工智能对人际关系的影响，以及其在去个性化危机中的作用。 Kevin Roos and Michael Barbaro: 这段对话展示了人工智能在提供情感支持和建议方面的潜力，但也引发了关于人工智能能否真正理解和回应人类情感的疑问。 Jenna: 作为一名社区诊所的儿科医生，我面临着巨大的工作压力和有限的资源，这使得我无法充分满足病人的需求，导致病人感到被忽视。 Pamela Murray: 我分享了我作为一名学生时与老师建立情感连接的经历，这对我产生了深远的影响，也激励着我成为一名能够与学生建立良好关系的老师。 Grace Bailey: 作为一名治疗师，我意识到在与病人沟通的过程中，有时会因为缺乏对病人充分的理解而造成伤害。 Tim Bickmore: 作为一名人工智能研究人员，我致力于开发人工智能应用来改善医疗保健和教育等领域的服务，并认为人工智能可以弥补人类服务不足的地方。 Katya Mudry: 作为一名初级治疗师，我发现医院的标准化流程和数据收集方式会阻碍我和病人之间建立情感连接，并导致病人感到不被理解。 Peter Almond: 作为一名人工智能工程师，我认为人工智能可以完成许多人类可以完成的任务，但人类仍然在创造有意义的连接方面具有不可替代的作用。 其他受访者: 其他受访者分享了他们在不同职业中与人建立情感连接的经验，以及人工智能应用对他们工作的影响。

Deep Dive

Chapters
This chapter explores the allure of AI in deeply personal human interactions, examining the assumptions underlying this appeal. It introduces the concept of "connective labor"—the forging of emotional understanding—and highlights its value in various professions.
  • AI's appeal in personal spaces stems from its potential to solve problems inherent in connective labor.
  • Connective labor involves "seeing" and being seen by another person, requiring empathy, reflection, and emotional regulation.
  • The injection model of care, where expertise is simply transferred, mischaracterizes the interactive nature of connective labor.

Shownotes Transcript

Contributor(s): Professor Allison Pugh | Allison Pugh explains how we have ended up in a moment in which machines have time for people, while human workers rush by, bent to the dictates of the industrial clock, and maps out its implications for the future of our social health. Critics commonly warn about three primary hazards of AI – job disruption, bias, and surveillance/privacy concerns. Yet the conventional story of AI’s dangers is missing a vital issue and blinding us to its role in a cresting “depersonalisation crisis.” If we are concerned about increasing loneliness and social fragmentation, then we need to reckon with how technologies enable or impede human connection.