AI Ethics Policy.
We cover AI — which means we hold ourselves to a higher standard when it comes to how we use it. These are the principles that govern our editorial work.
Our Six Commitments
Transparency in AI Assistance
We use AI tools as part of our editorial workflow — for research assistance, drafting, and content structuring. Our human editors are always responsible for final accuracy, framing, and publication decisions. We do not publish AI-generated content without review.
Technical Accuracy First
AI systems hallucinate. Our editorial process exists precisely to catch this. Every factual claim — benchmarks, architectural details, API specifications — is verified against primary sources before publication. We prioritize correctness over publication speed.
Staying Current
The AI landscape evolves faster than any editorial pipeline can track. We maintain a content review schedule to flag and update material that has become outdated. Articles covering rapidly-changing areas (model capabilities, benchmarks, tooling) are reviewed at least quarterly.
Attribution & Credit
We cite primary research papers, original authors, and foundational work. Where we summarize or build on others' work, we link to the source. We do not republish others' content without explicit permission.
Editorial Independence
Our content recommendations and technical assessments are independent of commercial relationships. We do not accept payment for positive coverage of AI tools, models, or companies. If we have a commercial relationship with a product we discuss, we disclose it.
Responsible Coverage
We cover dual-use AI capabilities (adversarial attacks, jailbreaking, model inversion) in an educational context. Our coverage focuses on understanding and defense, not enablement. We decline to publish detailed implementation guides for techniques whose primary use case is harm.
Our Editorial Process
Research & Drafting
Our writers conduct primary research against academic papers, official documentation, and model technical reports. AI tools may assist in structuring or summarizing source material.
Technical Review
A second editor with domain expertise reviews all factual claims, code examples, and benchmarks. Claims are traced back to primary sources.
Editorial Review
A final pass checks for clarity, bias, completeness, and appropriate disclosure of limitations or uncertainties in the content.
Post-Publication Maintenance
Published content is monitored for staleness. Significant corrections are noted at the top of the article with a date stamp.
Report a Concern
If you believe content on Acing AI contains factual errors or violates our ethics policy, please contact us. We take all reports seriously and will respond within 5 business days.
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