Resources
Curated tools, reading, and organizations for writers navigating the AI age.
Detection Tools
Links to AI writing detection products. Read each vendor's current documentation before relying on a score.
GPTZero
One of the earliest and most widely used AI detectors. Offers sentence-level highlighting and a "perplexity" score. Accuracy varies significantly by text type; higher false positive rates reported for academic and formal writing.
Originality.ai
Designed for content publishers and marketers. Claims high accuracy for current-generation models but has limited transparency about methodology. Paid tool with per-scan pricing.
Turnitin AI Detection
The most widely adopted tool in higher education, integrated into existing plagiarism detection infrastructure. Institutional licensing only. Has faced criticism for false positives, particularly with non-native English speakers.
Copyleaks
Offers AI detection alongside traditional plagiarism checking. Supports multiple languages. Enterprise-focused with API access for integration into institutional workflows.
Primary guidance
Read the source before treating any detector result as proof.
Turnitin AI Writing Report guide
Turnitin explains what its indicator displays and why the result requires human judgement.
OpenAI on ChatGPT authorship questions
OpenAI explains why asking ChatGPT whether it wrote a passage is not a reliable check.
Stanford HAI on detection bias
A report on a study of detector errors for non-native English writing.
Organizations
PEN America
Literary and free expression advocacy organization. Has published guidance on AI and writers' rights, and advocates for fair treatment of writers accused by detection tools.
Authors Guild
The largest and oldest professional organization for writers in the United States. Active in AI copyright litigation and advocacy for writer protections.
Electronic Frontier Foundation (EFF)
Digital rights organization that has published analysis of AI detection accuracy and its implications for due process and academic freedom.
Reading List
Books and long-form reading on AI, writing, and authenticity.
"The Anxiety of Influence" - Harold Bloom
The classic study of how writers grapple with their predecessors - newly relevant in an age when the "predecessor" is an algorithm trained on everything ever written.
"On Writing Well" - William Zinsser
A masterclass in clear, human prose. Reading Zinsser is a reminder of what writing advice looks like when it comes from a person who has actually struggled with sentences.
"Stolen Focus" - Johann Hari
About attention, distraction, and the erosion of deep thought - the conditions under which human writing becomes both harder and more valuable.
"Atlas of AI" - Kate Crawford
A rigorous examination of what AI systems actually are - their material costs, labor dependencies, and political implications. Essential context for understanding detection tools.