---
title: "Industry experts: AI-powered large-scale model poisoning is a new form of unfair competition."
type: "News"
locale: "en"
url: "https://longbridge.com/en/news/279162070.md"
description: "Industry experts warn that AI-powered large-scale model poisoning represents a new form of unfair competition. Li Fumin from Shandong University highlights that businesses using services to manipulate AI for targeted recommendations mislead consumers and violate their rights. This practice disrupts market competition and requires regulatory oversight, improved data review by AI operators, and increased consumer awareness to combat the harmful effects of such covert marketing tactics."
datetime: "2026-03-15T14:57:00.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/279162070.md)
  - [en](https://longbridge.com/en/news/279162070.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/279162070.md)
---

> Supported Languages: [简体中文](https://longbridge.com/zh-CN/news/279162070.md) | [繁體中文](https://longbridge.com/zh-HK/news/279162070.md)


# Industry experts: AI-powered large-scale model poisoning is a new form of unfair competition.

The "3.15" Gala exposed the chaos of AI big data models being "poisoned." Li Fumin, an expert from the Institute of Intelligent Social Governance at Shandong University of Finance and Economics, stated that the practice of businesses using GEO and other services to train big data models and guide AI to generate specific product or service recommendations is essentially a new type of unfair competition and consumer misleading behavior that uses technology for covert marketing and fabricates facts. Consumers are unknowingly receiving implanted marketing content, and its harmfulness and illegality deserve serious attention. On the one hand, this behavior infringes on consumers' right to know and right to fair trade as stipulated by the Consumer Rights Protection Law; on the other hand, it constitutes unfair competition by using technology for false or misleading commercial advertising, disrupting the normal order of recommendation algorithms and the market competition environment. Addressing this AI "poisoning" behavior requires a multi-pronged approach. Regulatory departments should include AI-induced marketing in their key monitoring and strengthen law enforcement supervision; AI operators should strengthen the review of data sources and output filtering, and establish traceability mechanisms; consumers should raise their awareness of the commercial attributes of AI-generated information and actively protect their rights through complaints and reports. (China News Network)

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