The latest news on China’s Green Dam filtering software is that the debate’s not over yet-and Apple may finally be pulled into the fray.
In early June, the Chinese government announced to PC makers that, by July 1, all computers sold in China would have to be shipped with Green Dam Youth Escort, a Web-filtering software said to protect minors from pornography and other “poisonous” content.
Days later, several U.S. technology advocacy groups banded together, asking the Chinese government to reconsider its mandate and “welcoming the opportunity for meaningful dialogue” about parental control software.
However, it was after researchers at the University of Michigan revealed that the software not only had a cache of terms it blocks users from-that beyond pornography included mentions of Falun Gong and homosexuality-but had serious security flaws, China’s Ministry of Industry and Information Technology told AP that the software was “not compulsory.”
On June 30, just under the mandate deadline, the Ministry reportedly announced that “for practical factors including heavy workload” companies may delay preinstalling the software.
Before celebrating could too heavily get under way, on July 2 the Ministry told China Daily that the mandate had only been delayed, not canceled, and that “the government will definitely carry on the directive on Green Dam,” according to a report from Information Week.
When the Wall Street Journal first broke the story in early June, Green Dam was described as having been developed by Jinhui Computer System Engineering, with input from Beijing Dazheng Human Language Technology Academy, and compatible with the Microsoft Windows operating system. This left Apple quietly on the sidelines, while Hewlett-Packard, Lenovo, Dell and others wondered how to proceed.
A sales representative at the Beijing Apple store said Green Dam wasn’t being bundled with new machines, since there was no Mac version, but that when one becomes available-which Jinhui says it is testing-then the Apple store would “preinstall the program in accordance with the government mandate,” the sales rep said, according to a July 2 news from PC World.
A U.S. spokesperson for Apple declined to comment.

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented data, weak metadata, slow pipelines, and poor data locality can stall AI projects before models ever reach production.

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise.

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly uncertain world. They explore how automation, AI, and integrated platforms are helping finance teams tackle today’s biggest challenges, from cross-border compliance and FX volatility to […]
-
Latest News - Resources Resource HubsFeatured ResourcesLink to The Real AI Power Play: Who Controls Your Enterprise Data Layer?
The Real AI Power Play: Who Controls Your Enterprise Data Layer?IT and data teams were promised that AI would make work easier. Instead, it's created new layers of complexity.Link to Building the Backbone of Agentic AI with Trusted, Context-Rich Data
Building the Backbone of Agentic AI with Trusted, Context-Rich DataIn this 10-minute take video, Reltio Principal Solutions Consultant Guy Vorster explains how organizations can overcome fragmented data challenges to power AI agents.Link to IHG scales real-time, trusted data across global brands
IHG scales real-time, trusted data across global brandsAccelerating time to value while powering data-driven engagementLink to Dell’s Vrashank Jain on Enterprise AI Data Readiness and AI Data Platform Infrastructure
Dell’s Vrashank Jain on Enterprise AI Data Readiness and AI Data Platform InfrastructureAI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented data, weak metadata, slow pipelines, and poor data locality can stall AI projects before models ever reach production.
Link to BMC’s Jennifer Margules on Intelligent Enterprise Orchestration
BMC’s Jennifer Margules on Intelligent Enterprise OrchestrationIn this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise.
Link to Global-First Finance: Building Scalable, Compliant Operations in an Uncertain World
Global-First Finance: Building Scalable, Compliant Operations in an Uncertain WorldeSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly uncertain world. They explore how automation, AI, and integrated platforms are helping finance teams tackle today’s biggest challenges, from cross-border compliance and FX volatility to […]
-
Artificial Intelligence -
Video -
Big Data & Analytics -
Cloud -
Networking - Cybersecurity Cybersecurity
- Applications Applications
- IT Management IT Management
- Storage Storage
- Mobile Mobile
- Small Business Small Business
- Development Development
- Database Database
- Servers Servers
- Android Android
- Apple Apple
- Innovation Innovation
- PC Hardware PC Hardware
- Reviews Reviews
- Search Engines Search Engines
- Virtualization Virtualization
-
- Blogs Blogs
- Events Events