Why does training data carry no machine-readable record of whether anyone consented?
機会
The legal question of whether AI training requires consent is largely settled, courts and regulators say it matters. The practical question of how a consent signal travels with a piece of text through the crawl, deduplication, filtering, and mixing stages of a dataset pipeline has no answer. Robots.txt is binary and coarse, applies to crawlers not trainers, and is routinely ignored by closed-source pipelines. The EU TDM opt-out under Article 4 of the DSM Directive has no standard machine-readable format that a pipeline can verify at the item level. The 2025 Data Provenance Initiative audit found pervasive missing and ambiguous consent signals across major training datasets, meaning even a builder who wants to respect consent cannot technically do so because the record is not attached to the data.
重要な理由
A per-item machine-readable consent signal is the primitive that lets regulation translate into engineering practice across the entire AI training pipeline.
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。