The algorithmic mirror: can authentic narrative selfhood persist in an AI-mediated world?
This paper examines how AI-assisted social media platforms shape the formation of narrative identity. Drawing on Schechtman’s theory of narrative selfhood and the Extended Mind Thesis (EMT), I argue that these platforms do not merely support self-expression but function as cognitive systems that ret...
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| 格式: | Final Year Project |
| 語言: | English |
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Nanyang Technological University
2025
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| 在線閱讀: | https://hdl.handle.net/10356/183217 |
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| 機構: | Nanyang Technological University |
| 語言: | English |
| 總結: | This paper examines how AI-assisted social media platforms shape the formation of narrative identity. Drawing on Schechtman’s theory of narrative selfhood and the Extended Mind Thesis (EMT), I argue that these platforms do not merely support self-expression but function as cognitive systems that retrieve and frame identity-related content in ways that qualify as cognitive extensions. However, this extension introduces structural constraints that affect authenticity.
Through the frameworks of Taylor’s expressivist account and Heidegger’s critique of technological enframing, I show that AI-mediated identity formation is distinct from traditional social influence because of its predictive, large-scale, and epistemically opaque nature. I also respond to three key objections concerning the social construction of identity, user agency, and the potential benefits of AI, arguing that algorithmic systems restructure the conditions under which identity is interpreted and presented. I conclude that authenticity remains possible in AI-mediated environments, but only if individuals cultivate critical awareness of how these systems shape the terms of self-understanding. |
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