At AI Weekly Reviews, accuracy and credibility are at the heart of everything we publish. We are committed to providing reliable, well-researched, and timely information on Artificial Intelligence and related topics. However, if mistakes occur, we take full responsibility and act quickly to correct them.
Our Commitment to Accuracy
- We strive to fact-check all information before publishing.
- Sources are verified to ensure credibility and trustworthiness.
- Updates and reviews are monitored regularly to maintain accuracy.
How We Handle Corrections
- Minor Edits (Grammar/Formatting):
- Typos, grammar issues, or formatting errors may be corrected without an official note, provided they don’t affect the meaning of the content.
- Substantive Corrections (Facts/Statistics/Claims):
- If an error affects accuracy (e.g., incorrect data, misattributed statements, or misrepresented facts), we will:
- Correct the information promptly.
- Add a note at the bottom of the article explaining the correction and date it was made.
- If an error affects accuracy (e.g., incorrect data, misattributed statements, or misrepresented facts), we will:
- Major Updates (Ongoing Stories):
- For evolving stories, we will clearly mark updated sections with phrases like “Update [Date]: …” to distinguish new information from the original.
Reader Feedback & Reporting Errors
We encourage our readers to help us maintain accuracy. If you notice an error, please let us know:
- Email us at info@aiweeklyreviews.com with the subject line “Correction Request.”
- Provide the article link, details of the error, and (if possible) a reliable source.
Our editorial team will review the request and respond within 48 hours.
Transparency Promise
- All corrections will be made openly and transparently.
- We do not alter content to hide mistakes; instead, we update responsibly and acknowledge errors.
- Our goal is to ensure that AI Weekly Reviews remains a trusted source for accurate AI news and insights.
Your trust matters. Thank you for helping us maintain the highest standards of accuracy and reliability.