Content Generation Disclaimer

This website uses machine learning algorithms to generate or draft content. The text, articles, or other materials presented on this site may be produced, in whole or in part, by artificial intelligence and machine learning models.

Furthermore, AI assisted platforms used for grammar and spelling corrections are used throughout the site to ensure readability.

1. Accuracy and Reliability

While we strive to ensure the accuracy and reliability of the generated content, it is important to note that machine learning models may not always produce error-free or completely accurate results. The content is always subject to human review and validation before making public.

2. Human Oversight

Our team maintains oversight of the content generation process, and human editors will always review, edit, and/or modify the content to enhance quality, coherence, and adherence to our editorial standards.

3. Content Ownership

The content generated by machine learning models remains the property of CMD.News. Users are encouraged to respect copyright and intellectual property rights associated with the content displayed on this website.

4. No Legal or Professional Advice

The content provided on this website, whether generated by machine learning or not, is for informational purposes only and should not be considered legal, professional, or expert advice. Users are encouraged to seek appropriate professional advice for their specific circumstances.

5. Continuous Improvement

We continuously work to improve the accuracy and quality of the machine-generated content. User feedback is valuable in this process, and we appreciate any input that helps enhance the user experience.

6. Changes to the Disclaimer

We reserve the right to modify or update this disclaimer at any time. Changes will be effective immediately upon posting on the website.

Policy last updated: 19th May 2024

7. Transparency

On articles where content has published in a state that has been modified by AI, a Disclaimer tag will be applied to the article displaying the name of the platform that has been used. Some may be internally developed in which case the tag will show “Proprietary”.