To support the responsible development and use of artificial intelligence (AI), DYXnet is committed to promoting transparency, accountability, and appropriate governance in the design, development, and deployment of AI systems.
This statement provides an overview of how we implement our AI ethics principles in practice and serves as a complement to our AI Ethical Statement.
1. Intended Use of AI Systems
AI products and services provided by DYXnet are designed to assist organizations in improving operational efficiency and information processing capabilities. Typical application scenarios may include, but are not limited to:
AI systems are generally intended to function as supportive tools. Outputs generated by AI systems may have limitations and should not be considered the sole basis for decision-making.
2. AI Governance and Risk Management
To promote responsible AI use, DYXnet has established governance and risk management practices, which may include:
3. Data Protection and Privacy
DYXnet is committed to protecting data and privacy in the development and operation of AI systems. Our practices include:
4. Human Oversight
Where appropriate, AI systems are subject to human oversight.
Authorized personnel may review AI-generated outputs and take appropriate actions when necessary. Users are encouraged to apply their own judgment and review AI-generated content before relying on it for important decisions.
5. Complaint and Feedback Mechanism
We value feedback from users and stakeholders regarding the use of AI technologies.
If you have questions, concerns, or suggestions related to our AI systems, please contact us at:
Email: ChatVSupport@dyxnet.com
Relevant feedback will be reviewed and handled appropriately as part of our ongoing improvement process.
6. Continuous Improvement
DYXnet will continue to monitor developments in AI technology and regulatory expectations and will periodically review and update our governance practices to support responsible AI deployment.
This statement may be updated from time to time to reflect changes in technology, operations, or regulatory requirements.
Version updated in Mar 2026


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