Why writers are calling Substack's AI detection tool a witch hunt
substack integrated pangram's ai detector to label content, prompting backlash from writers citing false positives and censorship fears who worry the tool inaccurately flags human work.
substack integrated pangram's ai detection tool, allowing readers to scan posts and receive a percentage-based score on ai likelihood, but writers quickly criticized the move as a witch hunt. creators using ai for editing argue the tool stigmatizes assistance, while others worry about 'wildly inaccurate' detectors that disproportionately flag non-native speakers and neurodiverse writers. despite ceo chris best's assertion that the tool prevents 'pollution' of the commons, experts like sam illingworth warn that relying on probabilistic models to judge humanity is flawed. substack also introduced a 'how i make this' disclosure feature, but the backlash highlights the tension between platform transparency and the unreliability of current detection technology.