Skip to main content

China proposes strict control of algorithms

China is not done with curbing the influence local internet services have assumed in the world’s largest populous market. Following a widening series of regulatory crackdowns in recent months, the nation on Friday issued draft guidelines on regulating the algorithms firms run to make recommendations to users.

In a 30-point draft guidelines published on Friday, the Cyberspace Administration of China (CAC) proposed forbidding companies from deploying algorithms that “encourage addiction or high consumption” and endanger national security or disrupt the public order.

The services must abide by business ethics and principles of fairness and their algorithms must not be used to create fake user accounts or create other false impressions, said the guidelines from the internet watchdog, which reports to a central leadership group chaired by President Xi Jinping. The watchdog said it will be taking public feedback on the new guidelines for a month (until September 26).

The guidelines also propose that users should be provided with the ability to easily turn off algorithm recommendations. Algorithm providers who have the power to influence public opinion or mobilize the citizens need to get an approval from the CAC.

Friday’s proposal comes at a time when Beijing is increasingly targeting companies for the way they have handled consumer data and the monopolistic positions they have assumed in the nation.

Earlier this year, Beijing-backed China Consumers Association said local internet companies had been “bullying” users into purchases and promotions and undermining their privacy rights.

Beijing’s recent data-security crackdown and tightening regulations around tutor services have spooked investors and wiped hundreds of billions of dollars.

Friday’s guidelines appear to target ByteDance, Alibaba Group, Tencent, and Didi and other companies whose services are built on top of proprietary algorithms. Shares of Alibaba and Tencent fell slightly on the news.

In recent years, several governments including those in the U.S. and India have attempted — to little to no success — to get better clarity on how these big tech companies’ algorithms work and put checks in place to prevent misuse.



from TechCrunch https://ift.tt/2Wn54WE
via IFTTT

Comments

Popular posts from this blog

Apple’s AI Push: Everything We Know About Apple Intelligence So Far

Apple’s WWDC 2025 confirmed what many suspected: Apple is finally making a serious leap into artificial intelligence. Dubbed “Apple Intelligence,” the suite of AI-powered tools, enhancements, and integrations marks the company’s biggest software evolution in a decade. But unlike competitors racing to plug AI into everything, Apple is taking a slower, more deliberate approach — one rooted in privacy, on-device processing, and ecosystem synergy. If you’re wondering what Apple Intelligence actually is, how it works, and what it means for your iPhone, iPad, or Mac, you’re in the right place. This article breaks it all down.   What Is Apple Intelligence? Let’s get the terminology clear first. Apple Intelligence isn’t a product — it’s a platform. It’s not just a chatbot. It’s a system-wide integration of generative AI, machine learning, and personal context awareness, embedded across Apple’s OS platforms. Think of it as a foundational AI layer stitched into iOS 18, iPadOS 18, and m...

The Silent Revolution of On-Device AI: Why the Cloud Is No Longer King

Introduction For years, artificial intelligence has meant one thing: the cloud. Whether you’re asking ChatGPT a question, editing a photo with AI tools, or getting recommendations on Netflix — those decisions happen on distant servers, not your device. But that’s changing. Thanks to major advances in silicon, model compression, and memory architecture, AI is quietly migrating from giant data centres to the palm of your hand. Your phone, your laptop, your smartwatch — all are becoming AI engines in their own right. It’s a shift that redefines not just how AI works, but who controls it, how private it is, and what it can do for you. This article explores the rise of on-device AI — how it works, why it matters, and why the cloud’s days as the centre of the AI universe might be numbered. What Is On-Device AI? On-device AI refers to machine learning models that run locally on your smartphone, tablet, laptop, or edge device — without needing constant access to the cloud. In practi...

Max Q: Psyche(d)

In this issue: SpaceX launches NASA asteroid mission, news from Relativity Space and more. © 2023 TechCrunch. All rights reserved. For personal use only. from TechCrunch https://ift.tt/h6Kjrde via IFTTT