← Back to all news
arXiv AI By Vyoma Raman, Isabel O. Gallegos, Neha Srivathsa

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

Read the original on arXiv AI →

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.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

Related stories

arXiv AI
Aug 7

Vibe Compiler: A Research-Logic Synthesis Tool That Runs without Prompt Engineering -Toward Enhancing Metacognition for Sustaining Agency in the Age of Generative AI-

arXiv:2608. 05545v1 Announce Type: cross Abstract: Generative AI used as a capable servant has greatly accelerated intellectual work, but it also risks eroding human epistemic agency by encouraging uncritical acceptance of AI-generated reasoning.

By Riichiro Mizoguchi, Tomoki Aburatani, Kento Koike, Machi Shimmei
llmsagents
More like this →
arXiv AI
Jun 4

The Illusion of Opting in AI-Mediated Consequential Decisions

arXiv:2605. 28210v2 Announce Type: replace Abstract: Drawing on Ullmann-Margalit's concept of opting (transformative, irrevocable, and shadowed by foreclosed alternatives), we show that current AI systems raise a profound ethical problem that existing AI ethics has not fully captured: the illusion of opting, in which persons and groups encounter the deceptive appearance of meaningful consequential choice while the agency needed to become genuinely capable of choosing is weakened.

By Eugene Yu Ji
More like this →