What Home Videotaping Can Tell Us About Generative AI

<

div class=”field field–name-body field–type-text-with-summary field–label-hidden”>

<

div class=”field__items”>

<

div class=”field__item even”>

We’re taking part in Copyright Week, a series of actions and discussions supporting key principles that should guide copyright policy. Every day this week, various groups are taking on different elements of copyright law and policy, addressing what’s at stake and what we need to do to make sure that copyright promotes creativity and innovation.

It’s 1975. Earth, Wind and Fire rule the airwaves, Jaws is on every theater screen, All In the Family is must-see TV, and Bill Gates and Paul Allen are selling software for the first personal computer, the Altair 8800.

But for copyright lawyers, and eventually the public, something even more significant is about to happen: Sony starts selling the first videotape recorder, or VTR. Suddenly, people had the power to  store TV programs and watch them later. Does work get in the way of watching your daytime soap operas? No problem, record them and watch when you get home. Want to watch the game but hate to miss your favorite show? No problem. Or, as an ad Sony sent to Universal Studios put it, “Now you don’t have to miss Kojak because you’re watching Columbo (or vice versa).”

What does all of this have to do with Generative AI? For one thing, the reaction to the VTR was very similar to today’s AI anxieties. Copyright industry associations ran to Congress, claiming that the VTR “is to the American film producer and the American public as the Boston strangler is to the woman home alone” – rhetoric that isn’t far from some of what we’ve heard in Congress on AI lately. And then, as now, rightsholders also ran to court, claiming Sony was facilitating mass copyright infringement. The crux of the argument was a new legal theory: that a machine manufacturer could be held liable under copyright law (and thus potentially subject to ruinous statutory damages) for how others u

[…]
Content was cut in order to protect the source.Please visit the source for the rest of the article.

This article has been indexed from Deeplinks

Read the original article: