Buongiorno,

«Aò: "Big Data is the new oil"; perché nun famo come 'aamo fatto pe'
l'Alaska?!?»

https://www.schneier.com/blog/archives/2023/07/the-ai-dividend.html
«The AI Dividend»
aka
«Artificial Intelligence Can’t Work Without Our Data - We should all be paid 
for it»
Date: 2023.06.29

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For four decades, Alaskans have opened their mailboxes to find checks
waiting for them, their cut of the black gold beneath their feet. This
is Alaska’s Permanent Fund, funded by the state’s oil revenues and paid
to every Alaskan each year. We’re now in a different sort of resource
rush, with companies peddling bits instead of oil: generative AI.

Everyone is talking about these new AI technologies—like ChatGPT—and AI
companies are touting their awesome power. But they aren’t talking about
how that power comes from all of us. Without all of our writings and
photos that AI companies are using to train their models, they would
have nothing to sell. Big Tech companies are currently taking the work
of the American people, without our knowledge and consent, without
licensing it, and are pocketing the proceeds.

You are owed profits for your data that powers today’s AI, and we have a
way to make that happen. We call it the AI Dividend.

Our proposal is simple, and harkens back to the Alaskan plan. When Big
Tech companies produce output from generative AI that was trained on
public data, they would pay a tiny licensing fee, by the word or pixel
or relevant unit of data. Those fees would go into the AI Dividend
fund. Every few months, the Commerce Department would send out the
entirety of the fund, split equally, to every resident
nationwide. That’s it.

[...] The bottom line for Big Tech is that if their AI model was created
using public data, they have to pay into the fund. If you’re an
American, you get paid from the fund.

Under this plan, hobbyists and American small businesses would be exempt
from fees. Only Big Tech companies—those with substantial revenue—would
be required to pay into the fund. [...]

Using today’s numbers, here’s what it would look like. The licensing fee
could be small, starting at $0.001 per word generated by AI. A similar
type of fee would be applied to other categories of generative AI
outputs, such as images. That’s not a lot, but it adds up. Since most of
Big Tech has started integrating generative AI into products, these fees
would mean an annual dividend payment of a couple hundred dollars per
person.

The idea of paying you for your data [isn’t new], and some companies
have tried to do it themselves for users who opted in. And the idea of
the public being repaid for use of their resources goes back to well
before Alaska’s oil fund. But generative AI is different: It uses data
from all of us whether we like it or not, it’s ubiquitous, and it’s
potentially immensely valuable. It would cost Big Tech companies a
fortune to create a synthetic equivalent to our data from scratch, and
synthetic data would almost certainly result in worse output. They can’t
create good AI without us.

Our plan would apply to generative AI used in the US. It also only
issues a dividend to Americans. Other countries can create their own
versions, applying a similar fee to AI used within their borders. Just
like an American company collects VAT for services sold in Europe, but
not here, each country can independently manage their AI policy.

Don’t get us wrong; this isn’t an attempt to strangle this nascent
technology. Generative AI has interesting, valuable, and possibly
transformative uses, and this policy is aligned with that future. Even
with the fees of the AI Dividend, generative AI will be cheap and will
only get cheaper as technology improves. There are also risks—[both
every day and esoteric]—posed by AI, and the government may need to
develop policies to remedy any harms that arise.

Our plan can’t make sure there are no downsides to the development of
AI, but it would ensure that all Americans will share in the
upsides—particularly since this new technology isn’t possible without
our contribution.

This essay was written with Barath Raghavan, and [previously appeared]
on Politico.com.

[isn’t new]
<https://www.nytimes.com/interactive/2019/09/23/opinion/data-privacy-jaron-lanier.html>

[both every day and esoteric]
<https://www.wired.com/story/large-language-model-phishing-scams/>

[previously appeared]
<https://www.politico.com/news/magazine/2023/06/29/ai-pay-americans-data-00103648>

--8<---------------cut here---------------end--------------->8---

Tralasciando _ogni_ considerazione di storia più o meno contemporanea in
merito all'Alaska e gli interi USA *e* _ogni_ considerazione in merito
alla fiscalità applicata alle multinazionali...

...in rigoroso ordine di importanza:

Neanche un accenno al fatto che una grossa quantità dei dati ingollati
da quei sistemi di machine learning non sono stati prodotti da cittadini
statunitensi, molti dati addirittura sono precedenti ai primi
insediamenti dei coloni nelle americhe... ma ogni bit, ogni pixel, deve
contribuire al WAWOIF (We are Americans and We Owe It Fund)

Neanche un accenno al fatto che la _stragrande_ quantità di /quei/ dati
sono **personali** - molti di cittadini EU, raccolti in violazione del
GDPR, ma che gliè frega a loro - e sono impiegati precisamente per
profilare e schedare le persone.

Neanche un accenno ai lavoratori para-schiavizzati che sono
indispensabili per "taggare" le tonnellate di dati ingollate dai sistemi
di machine learning delle multinazionali che questa proposta vorrebbe
tassare, lavoratori che quelle stesse multinazionali remunerano con
cifre scandalose e fregandosene dei loro diritti ("non siamo noi, sono i
governi dei rispettivi paesi a doverci pensare"); quel lavoro
semplicemente non è contemplato, quel lavoratori **non esistono**.  Per
non parlare della qualità di quel lavoro di "tagging".


Saluti, 380°

-- 
380° (Giovanni Biscuolo public alter ego)

«Noi, incompetenti come siamo,
 non abbiamo alcun titolo per suggerire alcunché»

Disinformation flourishes because many people care deeply about injustice
but very few check the facts.  Ask me about <https://stallmansupport.org>.

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