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Evidence record 17765 · automatically gathered

Invisible to the Machine: Auditing AI Restaurant, Cafe, and Bar Recommendation Against a Complete Market Census

arXiv:2608.07069v1 Announce Type: cross Abstract: AI assistants are becoming a primary interface for local discovery, yet almost nothing is known about which venues they surface -- especially in food and drink, where recommendations carry direct revenue consequences. We present the first census-denominated audit of AI venue recommendation: a complete enumeration of 4,776 cafes, restaurants, and bars across two bounded markets (Canggu and Ubud, Bali), against which we evaluate 2,208 search-ground

Record details

Published: 10 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Transparency
Retrieved: 10 August 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Shared topic: Transparency

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Shared topic: Transparency

Is the ACL Responsible NLP Checklist a Box-Ticking Exercise? A Large-Scale Analysis of EMNLP 2025

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Shared topic: Transparency

A^2E : An End-to-End Agent Auditing Engine

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How to cite this record

ethics.ai (10 August 2026), “Invisible to the Machine: Auditing AI Restaurant, Cafe, and Bar Recommendation Against a Complete Market Census,” evidence record 17765, https://ethics.ai/record/17765 (originally published by arXiv cs.CY).

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