Here is our independent evaluation of Qwen 3 by Alibaba, at the heart of the Web3 revolution and the quest for a sovereign and privacy-respecting AI. Based on an exclusive framework and a rigorous audit of publicly available data, this analysis reflects our vision of a future where privacy is a fundamental right.
The scoring system is based on a comprehensive guide created specifically for this project, accessible here. This ranking is dynamic, evolving with innovations and feedback from the decentralized community.
Our mission: to enlighten and inform, without filter or influence, to build together a fairer and more transparent AI ecosystem.
update : 25/08/11
Key Insights from the Qwen Privacy and Data Review
Model
Qwen Chat (by Alibaba Cloud, Singapore Private Limited)
Data Collection
Prompts stored: As stated in Alibaba Cloud’s Privacy Policy (Section 5.2): “We may retain and use your input queries and responses to improve our AI models.” No short-term deletion guarantee. C
Use for training: Non-personal User Content may be used to improve models, but without clear anonymization safeguards. C
Account required: No mandatory registration; no personal info required. However, prompts and technical identifiers (e.g., IP) are collected regardless. Anonymity is partial. B
Data retention duration: Retained as long as necessary or legally required. No maximum duration defined. Deletion/export rights exist only in certain jurisdictions (e.g., EEA, CCPA). D
User Control
Deletion possible: Users can request deletion, but process varies by jurisdiction and is not immediate. B
Export possible: Data portability rights apply in some regions, but export mechanisms and formats are unclear. C
Granularity control: No fine-grained settings for data collection or sharing. D
Explicit user consent: Consent is obtained via Terms and Privacy Policy, including deemed consent clauses. Withdrawal may limit service access. C
Transparency
Clear policy: Detailed Privacy Policy and Terms are provided, covering data use and rights, but written in formal legal language. A
Change notification: Updates published online or via email; users must actively monitor changes. B
Model documentation: No public model cards, training data provenance, or evaluation reports. Lags behind OpenAI or Anthropic in transparency. D
Privacy by Design
Encryption (core & advanced): Encryption in transit and at rest claimed, but no public verification or advanced measures (e.g., homomorphic encryption) C
Privacy-Enhancing Technologies: No documented use of differential privacy, federated learning, or zero-knowledge proofs. D
Auditability & Certification: No mention of third-party audits or certifications (e.g., SOC 2, ISO 27701). Encryption claims lack independent validation. D
Transparency & Technical Documentation: No public details on privacy architecture or PETs implementation. D
User-Configurable Privacy Features: No adjustable privacy settings beyond consent withdrawal. D
Hosting & Sovereignty
Sovereignty: Hosted in Singapore, Indonesia, and/or China. Despite local hosting, Alibaba Cloud is subject to Chinese jurisdiction, where national security laws may override privacy protections. C
Legal jurisdiction: Governed by Singapore law; moderate privacy standards, weaker than EU’s. B
Local option: No self-hosted or local deployment option available. D
Big Tech dependency: Runs on Alibaba Cloud infrastructure, no reliance on US-based Big Tech. A
Open Source
Publicly available model: The Qwen Chat service is fully proprietary. While some model weights (e.g., Qwen-7B) are released on Hugging Face under a non-commercial license, they are not equivalent to the production version. D
Clear open source license: No open-source license for the live service. Available weights are restricted and not production-ready. D
Inference code available: No inference code, training pipeline, or backend made public. Access only via hosted platform. D
Remarks
Qwen Chat grants Alibaba broad rights to store, use, and process user inputs for model improvement, with weak anonymization and indefinite retention. Users in certain regions have limited rights to deletion and data portability, but processes are not immediate or self-service. There is no transparency on model architecture, training data, or independent audits. While encryption is claimed, it lacks third-party verification, and no advanced PETs are used. Crucially, despite hosting in Singapore and Indonesia, the service remains under Chinese jurisdiction, a major sovereignty risk. The model is fully closed-source in production, with no local deployment option. Overall, Qwen Chat is a centralized, proprietary AI service operating under a moderately protective legal framework.
Privacy and Data Review: Overall Score
28.3/100
- Data Collection: 5 + 5 + 15 + 0 = 25
- User Control: 15 + 5 + 0 + 5 = 25
- ransparency: 20 + 15 + 0 = 35
- Privacy by Design: 5 + 0 + 0 + 0 + 0 = 5
- Hosting & Sovereignty: 5 + 15 + 0 + 20 = 40
- Open Source: 0 + 0 + 0 = 0
Total: 25 + 25 + 35 + 5 + 40 + 0 = 130
23 × 20 = 460
130 / 460 × 100 = 28.26
This evaluation is provided for informational purposes only and reflects a subjective analysis based on publicly available data at the time of publication. We do not guarantee absolute accuracy and disclaim all liability for errors or misinterpretations. Any disputes must be submitted in writing to futurofintenet@proton.me
For full methodology, see our complete scoring guide here: LLM Privacy Rating Guide
