Evidence record 10548 · automatically gathered

The Efficiency Costs of Information Assurance in AI-Enabled Labor Markets: Evidence from LinkedIn's Policy Changes

arXiv:2511.01923v2 Announce Type: replace Abstract: Generative artificial intelligence (GenAI) systems rely heavily on user-generated data for training. As governments and platforms impose increasing restrictions on the use of personal data, an important question is whether limiting access to user data for AI training affects the performance of AI-enabled economic systems. We examine this question in the context of labor-market matching. Our setting exploits a unique sequence of LinkedIn policy

Record details

Published: 16 July 2026
Source: arXiv cs.CY
Category: Research
Topics: Regulation · Jobs & economy
Retrieved: 16 July 2026

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ethics.ai (16 July 2026), “The Efficiency Costs of Information Assurance in AI-Enabled Labor Markets: Evidence from LinkedIn's Policy Changes,” evidence record 10548, https://ethics.ai/record/10548 (originally published by arXiv cs.CY).

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