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232

Technologist: 'Fining Big Tech isn't working, make them give away illegally trained LLMs as public domain' (www.theregister.com)

submitted 4 days ago by thelucky8@beehaw.org to c/technology@beehaw.org

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Opinionated article by Alexander Hanff, a computer scientist and privacy technologist who helped develop Europe's GDPR (General Data Protection Regulation) and ePrivacy rules.

We cannot allow Big Tech to continue to ignore our fundamental human rights. Had such an approach been taken 25 years ago in relation to privacy and data protection, arguably we would not have the situation we have to today, where some platforms routinely ignore their legal obligations at the detriment of society.

Legislators did not understand the impact of weak laws or weak enforcement 25 years ago, but we have enough hindsight now to ensure we don’t make the same mistakes moving forward. The time to regulate unlawful AI training is now, and we must learn from mistakes past to ensure that we provide effective deterrents and consequences to such ubiquitous law breaking in the future.

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[–] SinAdjetivos@beehaw.org 4 points 3 days ago

I mean, let's assume that we somehow regulate AI so that people have to pay to use copyrighted works for training (as absurd as that is).

ISBNDB approximates there to be 158,464,880 published books in existence.

Meta's annual income was ~156 billion last year.

Assuming a one time purchase scenario and a $20 average cost that's ~3.2 billion dollars. ~2% of their annual revenue.

Or you could assume assuming a $0.2 annual license (similar to a lot of technology licenses), or a 0.002 per "stream" (which I. This instance would be 'use of data to train model')

I agree with most of what you said, but if you buy into a lot of the economic paradigms your arguments are based on you must also realize that those require the copyrighted works must be paid for and it's not unreasonable to do so.