FT商學院

AI and patents: How machine learning can help or hinder innovation

Tech can be used to target inventions en masse — but also to protect creators

Intellectual property lawyer Damien Riehl and computer programmer Noah Rubin were talking in a hotel bar when they came up with an idea: what if you could use a computer to create every possible musical melody, in the same way that hackers might use “brute force” to run through every possible combination of a secure password?

That night, they built a prototype program that created 3,000 melodies. And so began the “All the Music” project — the melodies soon grew to 68bn and, as of today, 417bn. Copyright for the melodies is waived and they are released for public use, which prevents songwriters from accidentally infringing rights on existing music, helping them avoid frivolous or opportunistic lawsuits.

Then, Riehl and his collaborators saw that this model could also be applied to patents, and have started work on a successor project called All the Patents.

您已閱讀19%(866字),剩餘81%(3597字)包含更多重要資訊,訂閱以繼續探索完整內容,並享受更多專屬服務。
版權聲明:本文版權歸FT中文網所有,未經允許任何單位或個人不得轉載,複製或以任何其他方式使用本文全部或部分,侵權必究。
設置字型大小×
最小
較小
默認
較大
最大
分享×