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AI's impact on selfhood explored in new HCI review

By PulseAugur Editorial · [1 sources] ·

A new scoping review published on arXiv analyzes 102 papers to explore how artificial intelligence impacts the understanding and experience of the self. The review defines the 'AI-mediated self' as a conceptual framework connecting AI's role across various domains like education, work, health, and creative practices. It also introduces the 'Inclusion of AI-Self framework' to map AI-self relationships and identifies four key ethical risks: agency/autonomy, identity/authorship, relational capacity, and meaning-making. AI

IMPACT This research highlights potential ethical risks and conceptual frameworks for understanding AI's growing influence on human identity and autonomy.

RANK_REASON The cluster contains an academic paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI's impact on selfhood explored in new HCI review

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The cluster contains an academic paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Jenny Xiyu Fu, Qian Yang, Malte Jung ·

    AI-Mediated Self: How HCI Defines and Relates to the Self

    arXiv:2610.10770v1 Announce Type: cross Abstract: How might AI alter how we understand and experience the self? This scoping review analyzes 102 papers to examine how the self is defined in the field of human-computer interaction (HCI), how AI-self relationships are conceptualize…

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