AI’s Emerging Safety Watchdogs: Third-Party Evaluators Gain Prominence in a Trillion-Dollar Industry

In the rapidly evolving landscape of artificial intelligence, a select group of independent evaluators, once operating in relative obscurity, are now thrust into the spotlight. These third-party organizations are becoming crucial gatekeepers for a multitrillion-dollar industry, tasked with assessing the safety and ethical implications of advanced AI models as regulatory oversight lags.

Co-founder and CEO of Anthropic Dario Amodei looks on as US President Donald Trump speaks to the press after a meeting with technology executives about artificial intelligence at the White House in Washington, DC, on Sept. 29, 2026. Kent Nishimura | AFP | Getty Images

Companies like Anthropic and OpenAI, at the forefront of AI development, are increasingly turning to smaller, often nonprofit, third-party groups such as Model Evaluation and Threat Research (METR), Apollo Research, and Transluce. These evaluators are being called upon to scrutinize AI model capabilities, identify potential risks, and flag instances of problematic behavior. This surge in demand comes as the federal government hesitates to establish comprehensive regulatory frameworks, placing greater emphasis on industry self-policing and external validation.

The debate over AI safety has intensified, with key figures like Anthropic CEO Dario Amodei advocating for independent evaluators to be integrated into company operations. OpenAI CEO Sam Altman has also endorsed this approach, a sentiment echoed by President Donald Trump and major U.S. tech firms. However, significant questions remain unanswered regarding the funding, access, and reporting structures for these crucial third-party assessments. As computer science professor Suresh Venkatasubramanian of Brown University noted, "Who is paying for these companies to do their work? How are they going to support them? You need an ecosystem, you need a viable business model for this."

Critics draw parallels to the financial industry, questioning the efficacy of self-regulation by entities that stand to profit immensely from the technology's advancement. The voluntary accord proposed by President Trump, encouraging AI companies to partner with independent auditors, has been met with skepticism by some, who view it as a symbolic gesture rather than a substantive step towards accountability.

The friction points are already surfacing. OpenAI recently dismissed three employees, citing policy violations, though two of the former employees believe their termination was linked to their communication with third-party evaluators. This incident highlights the delicate balance between internal security and the need for open communication with external safety experts. OpenAI has stated its commitment to finalizing contracts with third-party safety assessors and integrating them into its safety protocols.

The AI evaluator ecosystem, comprising nonprofits like METR and Apollo Research, alongside larger firms such as Accenture, is experiencing rapid growth. Andrew Freedman, CEO of the policy nonprofit Fathom, remarked, "I've worked in politics and policy for the last 20 years of my life, and I've never seen an issue move so fast on so many different political spectrums." This rapid maturation is evidenced by significant funding rounds for organizations like Vals AI and METR, signaling increasing investment in the sector.

Accenture specialists working on AI evaluations. Andrey Rudakov | Bloomberg | Getty Images

Despite the growth, concerns linger about the robustness of the evaluator ecosystem and the potential for conflicts of interest. Kevin Werbach, faculty director of the Wharton Accountable AI Lab, points out that the power imbalance between small evaluators and tech giants could compromise true independence. The question of whether these evaluators can provide unbiased assessments without fear of repercussions impacting their future business remains a critical challenge.

Anthropic, in its acknowledgment of these complexities, has committed to funding Accenture's embedded evaluators directly, aiming to ensure a degree of financial independence. However, they too recognize the long-term need for pooled or government funding sources to sustain a truly independent evaluation infrastructure.

The push for government intervention is gaining traction. Fathom's proposed framework for Independent Verification Organizations (IVOs), licensed and authorized by the government to test AI safety criteria, is being considered in legislative proposals such as the FRONTIER Act. State-level initiatives in California, Connecticut, and Virginia are also moving forward to establish registries and frameworks for AI auditors, signaling a growing recognition of the need for formal oversight.

California Governor Gavin Newsom speaks during a press briefing. Michael Kappeler | Picture Alliance | Getty Images

While federal action remains uncertain, state-level efforts are setting precedents. California's new laws establishing IVO frameworks and auditor registries have received endorsements from both Anthropic and OpenAI, highlighting a pragmatic approach in the absence of comprehensive federal regulation.

The voluntary accord signed by leading AI companies, including Anthropic, Google, Meta, OpenAI, SpaceX, and Nvidia, has been characterized by some experts as a performance rather than a concrete step toward safety. The agreement encourages self-policing and the use of independent auditors, mirroring practices that many companies claim to already be engaged in.

Anthropic's proposal includes embedding evaluators with significant access, akin to internal teams, and granting them the right to publish findings. OpenAI's proposal outlines conditions for assessments, emphasizing methodology, expertise, and disclosure of conflicts. The AI Evaluator Forum has also put forth its own set of recommendations, stressing transparency, protection from retaliation, and access equivalent to a company's top employees.

Ultimately, the emergence of these AI safety gatekeepers reflects a complex interplay between corporate competition, public trust, and the nascent development of regulatory frameworks. While these independent evaluators are stepping into a critical role, the long-term sustainability and effectiveness of their work will hinge on establishing clear guidelines, ensuring financial independence, and fostering genuine collaboration within the rapidly advancing field of artificial intelligence.