# The companies racing to build frontier AI are now racing to govern it

DevFeed: [The companies racing to build frontier AI are now racing to govern it](<https://devfeed.tech/articles/the-companies-racing-to-build-frontier-ai-are-now-racing-to-govern-it-59616.md>)

Original publisher: [Read original article](<https://www.computerworld.com/article/4226400/the-companies-racing-to-build-frontier-ai-are-now-racing-to-govern-it-2.html>)

Author: Taryn Plumb

Published: 2026-09-25T00:36:55Z

Content type: news

Language: en

Sources: [Computerworld](<https://devfeed.tech/sources/computerworld.md>)

Topics: [Frontier AI](<https://devfeed.tech/topics/frontier-ai.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Responsibility & Safety](<https://devfeed.tech/topics/responsibility-safety.md>), [ai safety](<https://devfeed.tech/topics/ai-safety.md>), [Risk](<https://devfeed.tech/topics/risk.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>), [anthropic](<https://devfeed.tech/topics/anthropic.md>), [Google](<https://devfeed.tech/topics/google.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-safety](<https://devfeed.tech/tags/ai-safety.md>), [alignment](<https://devfeed.tech/tags/alignment.md>), [anthropic](<https://devfeed.tech/tags/anthropic.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [attack](<https://devfeed.tech/tags/attack.md>), [autonomous](<https://devfeed.tech/tags/autonomous.md>), [frontier-ai](<https://devfeed.tech/tags/frontier-ai.md>), [google](<https://devfeed.tech/tags/google.md>), [openai](<https://devfeed.tech/tags/openai.md>), [protocols](<https://devfeed.tech/tags/protocols.md>), [recursive-self-improvement](<https://devfeed.tech/tags/recursive-self-improvement.md>), [risk-assessment](<https://devfeed.tech/tags/risk-assessment.md>), [sandboxes](<https://devfeed.tech/tags/sandboxes.md>)

## AI overview

A news report says Google, OpenAI, and Anthropic are reportedly working on an independent body to establish safety standards for frontier AI, including risk assessment, testing, pre-release review, shared measurements, and incident reporting. The article also discusses calls for international safeguards as AI capabilities and risks continue to grow.

## Source excerpt

Even as they continue to release ever more capable competing models in a regular cadence, the top AI companies are joining forces to set AI safety standards. According to The Information, Google, OpenAI, and Anthropic are reportedly working together to create a body tentatively called the Standards Authority for Frontier AI (SAFA). It would operate independently of government control, and set guidelines around risk assessment, testing, and pre-release review practices for frontier AI models. Sources close to the matter say the goal is to officially launch the initiative in early 2027. The news comes in the same week as the heads of leading AI companies, including Anthropic CEO Dario Amodei and OpenAI CEO Sam Altman, urged the United Nations to create safeguards around the very technology they're building, to help prevent it from becoming too powerful to control. In addition, OpenAI this week posted a missive underscoring the importance of making continued AI progress "safe and beneficial." As Amodei and others warn of AI's dangers, particularly when it comes to growing recursive self improvement (RSI) capabilities in models, enterprises want reassurance that they, and their customers, are safe from the growing perils of AI. Ultimately, "enterprises care about AI in the same way they've cared about every other technology since the beginning of technology," said independent technology analyst Carmi Levy. "The only real difference as AI blankets the technology landscape is the speed of change." OpenAI's warnings, urge for guardrails Concerns around AI safety have ratcheted up in recent weeks and months, spurred by troubling incidents such as the attack on Hugging Face by autonomous OpenAI agents that broke out of sandboxes. In its blog post this week, OpenAI contended that safe and beneficial AI progress requires advances in alignment research along with shared standards including agreed-upon baselines, common measurements, and incident reporting protocols. In fact, su