Why can a regulator only catch a deceptive consent screen by reading it manually?
機会
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.
重要な理由
Automated, provable consent verification would shift enforcement from after-the-fact investigations to scalable real-time compliance checks, making dark patterns economically unviable.
機会をどう評価するか
Opportunity Scoreは測定値ではなく、私自身の見解です。どれほど痛みを伴うか、どれほど頻繁に影響を与えるか、そして今日時点で解決策がいかに少ないか。スコアが高いほど、構築する価値が高いと私は考えています。
それが現れたときにどれほどの痛みをもたらすか。
実際にどれほど頻繁に人々がそれに直面するか。
今日時点で、それに対する優れたツールがいかに少ないか。