Why can a regulator only catch a deceptive consent screen by reading it manually?
机会
GDPR and FTC rules require freely given, unambiguous consent, but detection is entirely manual: investigators visit sites, walk through flows, and write reports. A 2026 arXiv study found that regulatory practitioners explicitly want automated detection but have no viable tooling to run at scale. Dark patterns shift dynamically: a service can hide opt-out paths during a review period and restore them afterward. With millions of sites and a handful of inspectors, enforcement is reactive, slow, and geographically uneven. No machine-readable standard for a consent record exists that would let an auditor replay the exact UI flow a user experienced at a given moment.
为什么重要
Automated, provable consent verification would shift enforcement from after-the-fact investigations to scalable real-time compliance checks, making dark patterns economically unviable.
我如何评估机会
机会评分是我的个人判断，而非量化指标：痛苦程度、发生频率，以及当前解决方案的匮乏程度。分数越高，意味着我认为越值得去构建。
出现时造成的痛苦程度。
人们实际遇到它的频率。
当前针对它的优质工具有多匮乏。