Humane AI @AI_Humane

🚨 [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. 🔥 Stay up to date with the latest developments in AI policy, compliance & regulation: join 35,200+ people who subscribe to my AI Governance newsletter (link below).

#AIEthics #AIsafety #AIgovernance #ResponsibleAI #TechInnovation #DataTransparency #RiskManagement #HumaneAI #AIleadership #TechForGood

The real game-changers will be those who put AI risk control first. That’s how we build trust and drive innovation. 💡Curious to learn more? Listen to our interview open.spotify.com/episode/4K6fLV… podcasts.apple.com/il/podcast/mit…

Here’s the truth: Many companies think they're on top of AI safety, but there’s often a gap between good intentions and real action. At Humane AI, we close that gap with smart risk management, solid governance, and constant oversight.

euronews.com/next/2024/08/0…

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𝗕𝗶𝗴 𝗡𝗲𝘄𝘀! 🎉 𝗧𝗵𝗲 𝗘𝗨 𝗔𝗜 𝗔𝗰𝘁 𝗲𝗻𝘁𝗲𝗿𝘀 𝗶𝗻𝘁𝗼 𝗳𝗼𝗿𝗰𝗲 𝘁𝗼𝗱𝗮𝘆 𝗮𝗻𝗱 𝘄𝗶𝗹𝗹 𝗮𝗽𝗽𝗹𝘆 𝘁𝗼 𝗮𝗻𝘆 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝗶𝗻 𝗽𝗹𝗮𝗰𝗲 𝗼𝗿 𝗶𝗻 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁. This groundbreaking legislation aims to make AI safer >>

🚨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. amnesty.org/en/latest/news…

523 voted for, 46 against, 49 abstained.

Luiza Jarovsky, PhD @LuizaJarovsky

2 years ago

🚨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

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A robust framework for trustworthy, ethical & rights-respecting AI development across EU. Europe leads on #TrustworthyAI! #AIGovernance #AIEthics #AIRegulation #EUTechPolicy #ResponsibleAI

🔴 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. euronews.com/my-europe/2024…

#AIpolicy #OECD #TrustworthyAI #AIsystems #EUAiAct #ResponsibleAI

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.

The task of defining AI, and distinguishing it from non-AI machine-based systems, is a complex one. Despite the simplicity of the question, a universally agreed-upon answer remains elusive. The world’s brightest minds oecd.ai/en/wonk/defini… >>>

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. #aiimpact #aiact #humaneai

🚩Act now on AI before it’s too late🚩 AI has the potential to change the world. By many measures, it already has. But while policymakers and political leaders worry about the impact of generative AI tools such as ChatGPT >>> fastcompany.com/91022817/act-n…

of technology, but by its wise and responsible application. Let's work together for #ResponsibleAI, ensuring these powerful tools benefit society without fueling mistrust and manipulation. #HumaneAI #AIethics #Deepfakes #AIforGood #TechResponsibility nbcnewyork.com/investigations…

policymakers to prioritize ethical AI development and implement regulations to ensure responsible use. 🟢Foster a Culture of Ethics: Businesses and developers must integrate ethical considerations into the core of their AI practices. The future shouldn't be shaped by fear

Deepfakes can be weaponized for defamation, revenge, or to manipulate political discourse, causing significant harm to individuals and societies. 🔴The Responsibility of Developers: Those creating AI technologies must prioritize ethical design principles, implement safeguards >>>