Musk and Trump, EU Artificial Intelligence Bill | Wilnesh News

Appian CEO Matt Calkins told CNBC that Trump’s close relationship with Musk could put the U.S. in a strong position when it comes to artificial intelligence, citing the billionaire’s work as OpenAI co-founder and xAI, his own artificial intelligence Laboratory) CEO’s experience, positive indicators.

“We finally have someone in the U.S. government who really understands artificial intelligence and has a view on it,” Calkins said in an interview last month. Musk is one of Trump’s most prominent supporters in the business world. One, even appearing at some of his campaign rallies.

The law has not fully taken effect yet, but it has already created tensions among large U.S. tech companies, who worry that some aspects of the regulations are too strict and could stifle innovation.

In December last year, the European Union Office of Artificial Intelligence (a newly established model oversight agency under the Artificial Intelligence Law) released the second draft of practice guidelines for general artificial intelligence (GPAI) models, which mentioned systems such as OpenAI’s GPT series of large language models , or an LL.M.

The second draft includes exemptions for certain open source AI model providers. Such models are often made available to the public to allow developers to build their own custom versions. It also requires developers of “systemic” GPAI models to undergo rigorous risk assessments.

Computer and Communications Industry Association – whose members include Amazon, Google and Yuan – warns that it “contains measures that go well beyond the agreed scope of the bill, such as far-reaching copyright measures.”

The AI ​​office had no immediate comment when contacted by CNBC.

It is worth noting that the EU Artificial Intelligence Act is far from full implementation.

As Shelley McKinley, chief legal officer of popular code repository platform GitHub, told CNBC in November, “The next phase of work has begun, which may mean we have more challenges now than we have behind us.”

For example, the first provision of the bill will be enforceable starting in February. The regulations cover “high-risk” artificial intelligence applications such as remote biometrics, loan decisions and education scoring. The draft code for the third version of the GPAI model is scheduled to be released the same month.

European technology leaders are worried that the EU’s punitive measures against US technology companies may trigger a reaction from Trump and lead the EU to soften its approach.

Take antitrust supervision as an example. Andy Yen, CEO of Swiss VPN company Proton, said that the EU has been taking active actions to curb the dominance of US technology giants, but this may lead to a negative reaction from Trump.

“(Trump’s) view is that he may want to personally regulate his technology companies,” Yen told CNBC in an interview at the Internet Summit technology conference in Lisbon, Portugal, in November. “He doesn’t want Europe to get involved.”

However, Keir Starmer’s government has said it plans to introduce artificial intelligence legislation, but details are currently unclear. There are widespread expectations that the UK will take a more principles-based approach to AI regulation, rather than the EU’s risk-based framework.

Last month, the government dropped its first major indicator of regulatory progress, announcing a consultation on measures to regulate the use of copyright-protected content to train artificial intelligence models. Copyright is a big issue especially for generative AI and LL.M.

Most LL.M.s use public data from the open web to train their AI models. But this often includes examples of artwork and other copyrighted material. Artists and publishers like new york times Claims that these systems unfairly scrape their valuable content without consent to produce the original output.

To address this issue, the UK government is considering making an exception to copyright law for AI model training, while still allowing rights holders to opt out of having their works used for training purposes.

Appian’s Calkins said the UK could eventually become a “global leader” on copyright infringement of AI models, adding that the country “will not be subject to an overwhelming lobbying blitz by domestic AI leaders like the US”.

Finally, geopolitical tensions between the United States and China are likely to escalate under Trump as governments around the world seek to regulate rapidly growing artificial intelligence systems.

China is racing to beat the United States for dominance in artificial intelligence. At the same time, the United States has taken steps to restrict China’s access to key technologies, primarily chips designed by Nvidia, that are needed to train more advanced artificial intelligence models. China responded by trying to build its own local chip industry.

Technology experts worry that geopolitical differences between the United States and China over artificial intelligence could lead to other risks, such as the possibility that one of the two countries could develop artificial intelligence that is smarter than humans.

Max Tegmark, founder of the nonprofit Future of Life Institute, believes the United States and China may one day create a form of artificial intelligence that can improve itself and design new systems without human oversight, which could force both governments to Separately formulate relevant rules for artificial intelligence security.

“My optimistic path forward is for the United States and China to unilaterally impose national security standards to prevent their own companies from causing harm and building uncontrollable general artificial intelligence, not to appease competition,” Tegmark told CNBC in November. Opponent’s superpower, but just to protect yourself.

Governments are already trying to work together to figure out how to create regulations and frameworks around artificial intelligence. In 2023, the UK hosted the Global AI Security Summit, attended by both the US and Chinese governments, to discuss potential safeguards against the technology.

—CNBC’s Arjun Kharpal contributed to this report