arXiv AI By Jenny Xiyu Fu, Qian Yang, Malte Jung

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

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The paper reviews 102 studies to explore how AI influences our understanding and experience of the self within human‑computer interaction. It introduces the concept of an AI‑mediated self, consolidates six framings of the self with four ethical risk domains into a conceptual map, and presents the Inclusion of AI‑Self framework that positions AI‑self relationships along a proximity spectrum. These contributions aim to make selfhood a central design focus in HCI research and practice.

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arXiv AI
Aug 11

Abstracted Away: Resisting Alienation and Ungrounded Abstraction in AI Research Communities

arXiv:2608. 08408v1 Announce Type: cross Abstract: Logics of abstraction in computational AI research often push important forms of knowledge and reflection aside: dominant standards of legitimacy separate from lived experience of harm; the goals of work misalign with the practices that operationalize them; and career demands crowd out critical reflection.

By Vyoma Raman, Isabel O. Gallegos, Neha Srivathsa
arXiv AI
Aug 24

Significant Other AI: Identity, Memory, and Emotional Regulation as Long-Term Relational Intelligence

The paper proposes a new class of relational AI called Significant Other Artificial Intelligence (SO‑AI), designed to emulate the stabilizing role of human significant others by providing identity awareness, long‑term memory, proactive support, narrative co‑construction, and ethical boundary enforcement. It outlines a conceptual architecture featuring an anthropomorphic interface, a relational cognition layer, and a governance layer, and presents a research agenda for evaluating identity stability, interaction patterns, narrative development, and sociocultural impact. The authors argue that SO‑AI could fill the relational anchor gap many people experience today, offering a blueprint for responsibly augmenting long‑term, identity‑bearing partnerships between humans and AI.

By Sung Park
arXiv Computation and Language
Sep 24

"AI Is Turning Too Human": How Teenagers Experience and Negotiate AI in Everyday Life

The study examines how teenagers discuss and navigate generative AI in their daily lives, using data from r/teenagers between January 2023 and July 2026. Analysis of 11,083 posts identified eight interconnected domains of experience, with everyday and social use being most common. Over time, discussions shifted toward concerns about authenticity, personal control, safety, and the future role of humans versus AI, highlighting adolescents’ active negotiation of AI’s place in their lives.

By Jianfeng Zhu