🚨 [AI Research] "The Rapid Adoption of Generative AI" by Alexander Bick, Adam Blandin & @ProfDavidDeming has MIND-BLOWING stats that should serve as a wake-up call in favor of AI regulation & governance. Check it out:
This was the 1st nationally representative survey in the US on generative AI use at work and home, and the data are sourced from the Real-Time Population Survey (RPS). According to the paper:
1️⃣ Generative AI's adoption rate is faster than PCs or the internet
"(...) generative AI has been adopted at a faster pace than PCs or the internet. Faster adoption of generative AI compared with PCs is driven by much greater use outside of work, probably due to differences in portability and cost. (...) We find an adoption rate of 28 percent in year two for generative AI, compared with a 25 percent adoption rate in year three for PCs" (page 15)
2️⃣ Extremely high adoption rate at work across a variety of occupations
"Generative AI adoption at work is highest for computer/mathematical and management occupations, at about 49 percent. Usage at work is also high for business and finance and education occupations (42 and 38 percent, respectively). However, generative AI adoption is relatively common across a range of jobs. With the exception of personal services, at least 20 percent of workers from all major occupations groups use generative AI at work. Interestingly, 22 percent of workers in “blue collar” jobs - construction and extraction, installation and repair, skilled production, and transportation and moving occupations - use generative AI at work." (page 17)
3️⃣ 0.5%-3.5% of all work hours in the US are assisted by generative AI
"We estimate that between 0.5 and 3.5 percent of all work hours in the U.S. are currently assisted by generative AI. Assuming that the productivity gains from recent experimental studies are externally valid, this suggests that generative AI could plausibly increase labor productivity by between 0.125 and 0.875 percentage points at current levels of usage, although we caution that this calculation should be considered highly speculative given the assumptions it requires." (pages 20-21)
What should we take from that? Generative AI is spreading fast across various occupations, including the potential for widespread harm, which might be difficult to control afterward. AI governance and regulation are needed now, as well as effective AI literacy efforts.
🔎 Read the full paper below.
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🚨The #AIAct is adopted today.
EU policymakers are hailing the AI rulebook as a global paragon for AI regulation, but the legislation fails to take basic human rights principles on board. Countries outside of the EU should learn from the bloc’s failure.
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🚨BREAKING: Today, the Members of the European Parliament will vote on the AI Act. This is what happens next:
The AI Act is expected to officially become law by May or June, and its provisions will start taking effect in stages:
- 6 months later: countries will be required to ban prohibited AI systems
- 1 year later: rules for general-purpose AI systems will start applying
- 2 years later: the whole AI Act will be enforceable
Fines for non-compliance can be up to 35 million Euros or 7% of worldwide annual turnover.
If you are interested in AI regulation, you can't miss my live session with the inimitable @BertuzLuca, @JcMalgieri, and @RistoUuk discussing challenges, opportunities, and practical insights (link below).
🔴 Historic milestone as EU Parliament adopts world's first comprehensive #AI law - the #AIAct!
It bans high-risk practices like social scoring, sets strict rules on biometrics & bans exploitative/deceptive AI. Heavy fines for non-compliance.
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a definition that outlines the characteristics of machines deemed to be AI. This definition plays a crucial role in regulatory initiatives like the EU AI Act and is pivotal for the global interoperability of AI regulation.
on their population, and the leaders of the companies behind the tech worry their innovation is about to be trampled by regulation, some are concerned about the deeper issues.
Read what Gabriela Ramos, UNESCO AI lead, has to say on these issues.
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🚩Act now on AI before it’s too late🚩
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policymakers to prioritize ethical AI development and implement regulations to ensure responsible use.
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