Content Quality Control (CQC)
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EDITING + ​RISK MITIGATION

Content Quality Control

For AI- + Human-Generated Content
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Better Than Editing Alone

Content Quality Control (CQC) is a new approach to content editing that places a heavy emphasis on risk mitigation. It can be used to review AI-generated content, human-generated content or a combination of both.​

AI can generate inaccurate, biased content and traditional editing needs to evolve to meet current needs. CQC is an option that can be used to review AI- and human-generated content and reduce risks.

Four Roles

A Content Quality Control (CQC) Specialist takes on four roles. They analyze, advise and reduce risk, and deliver professionally edited/proofread content.
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More About Content Quality Control

The CQC Comparison Chart and the CQC Specialist flyer below provide more details about how CQC differs from current content review/editing processes, and demonstrates how CQC Specialists can fulfill a needed role and help add value and reduce risk.

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CQC Content Evaluation Framework

More nuanced content issues tend to fall into one of these categories: Bias, Influence, Validity and Accessibility. Use and share the framework below (or modify it to better fit your organization) if it helps you. 
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 AI has permanently changed the content development landscape. Create new opportunities for yourself and others, and elevate the profession, by advocating for Content Quality Control and CQC Specialists.
Content and CQC Concept ©2016-25, M.J. Dale Communications, LLC
Thank you for linking to www.ContentQualityControl.org when sharing CQC concepts.
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