Anthropic, Accenture to invest $2 billion in AI model evaluation as safety concerns rise
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AI lab Anthropic said on Friday it would partner with Accenture for the independent evaluation of its frontier AI models, with the companies each committing at least $1 billion over the next five years to build capacity for the work. File | Photo Credit: Reuters
AI lab Anthropic said on Friday it would partner with Accenture for the independent evaluation of its frontier AI models, with the companies each committing at least $1 billion over the next five years to build capacity for the work.
The partnership comes as AI developers face growing pressure from regulators, companies and researchers to ensure their advanced models are safe and reliable.
Several recent incidents, including that of AI agents breaking out of secured environments, have raised concerns that AI could eventually contribute to its own development with limited human input, making its behavior harder to monitor and control.
On Saturday (September 19, 2026), Anthropic CEO Dario Amodei called on AI companies to slow the development of frontier models and allow independent evaluators greater access to their systems.
Rival OpenAI said on Wednesday (September 17, 2026) it would begin publishing regular reports on unexpected or concerning model behavior, while releasing six reports on such incidents.
Accenture’s specialist AI business, Faculty, will lead the partnership and evaluate and red-team the AI lab’s models, conducting alignment assessments and testing model safeguards.
The companies’ investment will support what Anthropic calls “embedded evaluation,” in which independent evaluators work inside AI companies with access comparable to that of an employee.
“From this vantage point, embedded evaluators can assess how a company operates, verify that it is keeping its safety commitments, and identify blind spots,” Anthropic said.
Evaluators can also report incidents and give the public a more informed account of benefits and risks, it added.
Anthropic and Accenture plan to work with other evaluators and AI developers in similar capacities.
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