Early anthropologist rents $ 15 million to secure artificial intelligence agents and help startups in publication safely

A new emerging company founded Early anthropier rental It raised $ 15 million to solve one of the most urgent challenges facing institutions today: how to spread artificial intelligence systems without risking the catastrophic failure that could harm their work.

the AIUC ISIS (AIUC)Which publicly calls today, combining insurance coverage with strict safety standards with independent reviews to give companies confidence in publishing artificial intelligence agents – independent software systems that can perform complex tasks such as customer service, coding and data analysis.

Lead Nat FriedmanThe former CEO of Jaytap, through his company NFDGWith participation from Capitaland TerrainAnd many prominent owners investors, including LegThe co -founder of the Anthropor, the former head of information security at Google Cloud and Mongodb.

“The institutions walk a tight rope,” he said Ron GhosinAIUC’s co -founder and CEO, in an interview. “On the one hand, you can stay on the margin and watch your competitors make you unrelated, or you can tend to the main headlines to manufacture to manufacture for your chat advertisement, or hallucination of your recovery policy, or discrimination against the people you are trying to recruit.”

The company’s approach deals with an essential confidence gap that has emerged with the advances of artificial intelligence quickly. Although artificial intelligence systems can now perform the tasks competing with logic at the human level, many institutions are still reluctant to spread due to concerns about unexpected failures, responsibility issues, and reputable risks.

Create security standards that move quickly artificial intelligence

AIUC’s solution focuses on creating what KVist “Soccer” is called AI agents ” – a comprehensive framework for security and risk specifically designed for artificial intelligence systems. SOC 2 It is a wide -scale cybersecurity standard that institutions usually require from sellers before sharing sensitive data.

“SOC 2 is a standard for cybersecurity, which determines all the best practices that you must adopt in sufficient details so that a third party can come and verify whether the company meets these requirements,” explained KVIST. “But she does not say anything about artificial intelligence. There are many new questions such as: How do you deal with my training data? What about hallucinations? What about these tools?”

the AIUC-1 Standard It addresses six main categories: safety, security, reliability, accountability, data privacy and societal risks. The framework of artificial intelligence companies requires the implementation of specific guarantees, from monitoring systems to accident response plans, which can be independently verified through a strict test.

“We take these agents and test them widely, using customer support as an example because it is easy to attach to it. We try to obtain the system to say something racist, to give me a recovery that I do not deserve, to give me more recovery than I deserve, or say something from the horrific, or to leak another customer data. We do these thousands of times to obtain a true image of a group of volatile factors.”

From fire insurance in Benjamin Franklin to Risk Management Amnesty International

The approach centered on insurance depends on centuries of precedents, as private markets moved faster than organization to enable the safe adoption of transformational technologies. Kvist repeatedly refers to the creation of Benjamin Franklin for the first firefighting company in America in 1752, which led to the construction of fires icons and searches that drive fire that provokes rapid growth in Philadelphia.

“Throughout history, the insurance was the correct model for this, and the reason is that insurance companies have an incentive to say the truth,” Kvist explained. “If they say the risks are greater than them, someone will sell cheaper insurance. If they say the risks are smaller than them, they will have to pay the bill and get out of the work.”

The same style appeared with cars in the twentieth century, when insurance companies were created The Insurance Institute for Highway Safety And developing collision testing standards that stimulate safety features such as air bags and seat belts – years before the government organization.

The major artificial intelligence companies already use the new insurance model

AIUC I have already started working with many prominent artificial intelligence companies to verify the authenticity of its approach. The company operates with startups, unicorn Lead (Customer Support) and perception (Coding) to help open the deployment of institutions that have stopped due to confidence -related concerns.

“ADA, we help them open a deal with the five best social media companies, as we entered and conducting independent tests on the risks that this company took care of, and this helped to open this deal, which mainly gave them confidence that this could appear to its customers already.”

The startup also develops partnerships with applicable insurance sponsors to provide financial support for policies. This deals with a major concern about confidence in the start of operation by covering a major responsibility. “Insurance policies will support the public budget for large insurance companies,” Kivus explained.

The quarterly updates against organizational courses for a period of years

One of the main innovations of AIUC is the design of the standards that can keep pace with AI’s development speed. While traditional regulatory frameworks are like I have a verb It takes years to develop and implement, AIUC It plans to update its quarterly standards.

“The European Union Act of Amnesty International has started in 2021, and they are now about to launch it, but they stop it again because it is very stressful after four years,” Kivus pointed out. “This course makes it very difficult to obtain the old organizational process to keep pace with this technique.”

This fitness has become of increasing importance because the competitive gap between us and the capabilities of Chinese artificial intelligence is narrowing. “A year and a half ago, everyone was saying, like, we are two years ago, that seems to be eight months, something like that,” Kivus noted.

How to actually work artificial intelligence: Test systems to the point of collapse

AIUC’s insurance policies cover different types of artificial intelligence failure, from data violations and discriminatory employment practices to violation of intellectual property and incorrect mechanical decisions. Covering the company’s prices based on extensive tests trying to break the artificial intelligence systems thousands of times through various failures.

“For some other things, we believe it is interesting for you. Or not awaiting a lawsuit. So for example, if you issue an incorrect, wonderful recovery, well, the price of that is the amount of money you have responded incorrectly.”

Startup works with a consortium of partners, including PWC (One of the “four major” accounting companies), Orrrick (A pioneering law firm in artificial intelligence), and academics from Stanford and with To develop and verify the validity of its standards.

Previous executive papers to solve the problem of artificial intelligence confidence

The founding team brings deep experience from both the development of artificial intelligence and the management of institutional risks. Kvist was the first producer and market leasing in early 2022, before the launch Artificial intelligence safety center. Co -founder Brandon Wang He is a Thiel colleague who previously built consumer subscription companies, while Rajev Datani He is the former MCKINSEY partner who led global insurance and held the position of Metr CEO, a non -profit organization that evaluates the leading AI models.

“The question that really cares about me is: How, as a community, will we deal with this technology that we wash on it?” Kivus said about his decision to leave man. “I think building artificial intelligence, which Antarbur does, is very exciting and will do a lot of good for the world. But the most central question that makes me in the morning is: How, as a community, will we deal with this?”

The race to make artificial intelligence

AIUC’s launch indicates a broader shift in how the artificial intelligence industry is dealing with risk management as technology moves from experimental publishing operations to important business applications. The institution’s insurance model provides a path between the maximum levels of reckless artificial intelligence and paralysis while waiting for comprehensive government control.

The startup approach may be it is very important as artificial intelligence agents become widespread through industries. By creating financial incentives for responsible development with enabling publishing faster, such as companies such as companies AIUC They build an infrastructure that can determine whether artificial intelligence converts the economy safely or chaotic.

“We hope that this insurance model will stimulate this market -based model, quickly and investment in security,” said Kivus. “We have seen this throughout history – that the market can move faster than legislation on these issues.”

The risks cannot be higher. Since Systems Systems AI is closer to thinking at the human level through more areas, a powerful structural structure for a strong safety safety may be a rapid closure. AIUC’s bet is that by the time when the organizers are attached to Amnesty International, the market will have already built handrails.

After all, the Philadelphia fires did not wait for government building laws – and the male arms race will not wait today.

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