As expected, President Donald Trump has abolished the 2023 regulation by his predecessor Joe Biden on the first day of his inauguration.
Previous presidential ordinances should have been required to scrutinize the Federal Government’s advanced AI models of the following major developers. Openai,, Google,, Amazon And other technology giants. Biden’s order also set up the highest AI manager in major federal organizations and set a framework to address ethical and security risks.
President Trump’s reversal indicates an important change in policy that relieves regulations and guardrails and promotes growth and innovation. However, it is unknown how the withdrawal of the Presidential Order of the Biden will be enacted at the federal institution where such policies have already been introduced. It is noteworthy that Trump has enacted the first presidential decree on AI in his first term.
French Minister AI criticizes European AI rules
While the United States retreats AI’s guardrails and surveillance, France criticized the EU AI method, the most comprehensive AI regulation worldwide. Companies in the EU or companies that interact with the EU people must follow these regulations. This law focuses on evaluating AI models and tools based on the various risks levels that AI models and tools bring to users.
Clara Chapaz, the first AI minister in France, said that the law should be considered a “tool to proceed faster,” rather than a company. He is a panel discussion of the World Economic Forum held in Davos on Wednesday (January 22), and provides what is needed to emerging companies in infrastructure, data access, and other support. He stated that it was possible to establish a framework that does not hinder innovation. )
Chapaz has called for the EU authorities to see the regulations as the starting point for innovation, rather than “stalling” to the idea of regulating only to regulate.
Albind Krishna, CEO and chairman of IBM, who participated in the same panel discussion, added that the regulation should be a “light touch.” However, he pointed out that even if the intention of this bill would be a “female if the regulation was reached,” it was a large hammer. He stated that there is room for a powerful approach, such as AI systems that bring extreme risks.
Krishna also believes that AI model developers, mainly Openai and Big Tech companies are responsible for what they create.
Mistral AI CEO talks about the AI spirit of Silicon Valley in detail
Mistral AI’s CEO and co -founder Arthur Menshu, Mistral AI’s AI Startup, a European answer to Openai, argued that high -tech corporate executives are adhered to the US government. In the same panel discussion of the World Economic Forum, Menshu said that there should be a gap between the private sector and the public sector because the members of the Diet should play.
Among the renowned technology company executives who attended President Trump’s inauguration, Tesla CEO, Amazon founder Jeff Bezos, Apple CEO Tim Cook, Google CEO Sander Pichai. , Mark Zuckerberg of Meta CEO, and Google co -founder Sagay Brin.
Mensch also opposed the idea that the development of AI would be expensive. This concept has helped Openai and other AI startup companies to raise billions of dollars on training AI -based models. He stated that Mistral has decided to develop an open source model so that anyone can use AI widely, and has used this model for malicious purposes. He pointed out. Menshu added that the biggest risk is that AI focuses on a few hands.
The US Ministry of Commerce has set AI compatible data guidelines
The US Ministry of Commerce has released a guideline to optimize the use of open data in the generated AI model. This guideline affects not only the Ministry of Commerce staff but also the general public. The ministry keeps some of the most valuable open data assets in the United States in the US economy, people, and environment.
The Ministry of Commerce has updated data processing and public methods to reflect technological innovation, from digitalization of 2010s to the use of mechanical reading forms. Currently, the department is preparing data that can be used in the generated AI model.
With a new guideline, the data can be understood not only in machinery, but also for machines. “This is a method that can be accurately interpreted and used by the generated AI system, which means storing data meaning and context,” said the ministry.
If you can enable the generated AI model and understand the data of the Ministry of Commerce further, users other than engineers can use AI chatbots like Chatgpt to get insights from data more easily. It will be.
This document explains in detail the five major focus fields: documentation, data and metadata, data storage and distribution, data license and use, data consistency and quality.
