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Interpreting War When AI Is ‘Extremely Dangerous’

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EU leaders insist that answering ethical questions close to AI will lead to a more competitive market for AI products and services, expand AI implementation, and help the region compete with China and the United States. Supervisors hope that the high-risk publications encourage professionals to do more and do better in business.

Business respondents say the law goes too far, with prices and regulations that could hamper skills. Meanwhile, many human rights groups, AI systems, and anti-apartheid groups say the AI ​​Act does not go far enough, leaving people at risk for powerful businesses and governments that have the resources to support high-level AI systems. (This money does not use AI agents.)

(Especially) Mature Business

While some of the ideas on the AI ​​Act come from EU citizens, the answers come from groups of radiologists and oncologists, Irish and German teacher training organizations, and major European businesses such as Nokia, Philips, Siemens, and BMW Group.

American companies are also well represented, with comments from Facebook, Google, IBM, Intel, Microsoft, OpenAI, Twilio, and Workday. Instead, according to European Commission scientists, the United States ranked fourth as the largest source of commentary, after Belgium, France, and Germany.

Many companies expressed concern about the value of the new legislation and questioned how their AI systems could be documented. Facebook asked the European Commission to make it clear whether the AI ​​Act prohibiting small-scale fraudulent activities reaches the targeted advertising. Equifax and MasterCard each challenged the blanket on the high risk of any AI that judged a person in debt, claiming it would increase costs and reduce test screening. However, many education he finds events about discrimination that affects algorithms, financial performance, and credit.

NEC, a Japanese face recognition company, says the AI ​​Act gives unnecessary responsibility to those who provide AI systems on behalf of users and that the idea of ​​selecting all remote machines that are at high risk could have the following costs.

One of the biggest competing companies that has this policy is how it works on large or experimental projects that can accomplish a number of tasks, such as OpenAI GPT-3 or Google’s experimental version of several types MUMI. Some of these models are open source, and some are products that are sold to clients and cloud companies with AI talent, data, and the necessary computer tools needed to teach the system. In response to page 13 of the AI ​​Act, Google stated that it would be difficult or impossible for those who develop multiple AI systems to comply with these rules.

Other companies working on the development of smart or smart devices such as Google’s DeepMind, IBM, and Microsoft have also announced changes to the AI ​​account that could handle multiple tasks. OpenAI urged the European Commission to refrain from banning future targets, although some cases could fall into serious danger.

Entrepreneurs also want to see developers of AI Act change the definitions of complex terms. Companies such as Facebook have said the bill uses additional terms to describe high-risk systems, which results in significant overcrowding. Some call it the most artistic change. Google, for example, wants a new definition added to the experimental rules that differentiate between “users” AI method and “suppliers,” “distributors,” or “installers” of AI systems. To do this, the company says, could put a strain on the AI ​​transformation of the business or factor that is causing the change and not the company that created the original. Microsoft has recommended the same.

The Most Dangerous AI Cost

Then there is the matter of the amount of risk that a business can have.

A learning Employees at the European Commission invest in a single AI project under the AI ​​Act at around 10,000 euros and expect companies to expect a start-up cost of around 30,000 euros. When companies develop technical solutions and look like a normal business, they expect prices to fall by around 20,000 euros. The study used a form developed by the Federal Statistical Office in Germany and acknowledged that prices can vary depending on the size of the operation and its complexity. Since manufacturers copy and modify AI models, and then combine them with their own products, this study concludes that “a complex environment can include complex sharing.”

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