
Agentic AI Collaborative Initiative Announced by Pistoia Alliance
Key Takeaways
- Agentic AI is seen as a disruptive technology, with potential to accelerate multi-step processes in life sciences.
- Concerns about AI autonomy include trust, reproducibility, and regulatory compliance, prompting the Pistoia Alliance to establish standards.
The nonprofit is calling upon its community of experts in both artificial intelligence and machine learning to continue building support for responsible adoption of AI in the bio/pharmaceutical industry.
At the European conference of the
However, the Pistoia Alliance said in a Sept. 4, 2025 press release that surrendering full autonomy to AI creates a sort of “black box” that may undermine trust, capacity for reproducibility, and regulatory compliance (1). It is for those reasons—with the overarching mission of safely adopting agentic AI—that the nonprofit is establishing a new initiative bringing together experts from the pharmaceutical, technology, and biotech industries to help shape certain standards and protocols under which AI agents will be allowed to perform.
How will the initiative encourage responsible AI use?
With Genentech providing the initial seed funding for the project, the Pistoia Alliance said it is currently seeking both additional partners and funds (1). The nonprofit has stated strategic priorities to harness AI and expedite R&D and is calling upon an AI and machine learning (ML) community of experts to continue building support for the industry-wide responsible adoption of AI.
“Our members see agentic AI as one of the most impactful technologies set to change how they work and innovate, but they also recognize the risks if adoption happens without the right guardrails,” said
What are priorities for the industry?
As part of a recent webinar, the Pistoia Alliance said it polled more than 100 pharma professionals, and the consensus top priority for pre-competitive collaboration was the creation of shared validation frameworks and metrics, for model robustness and bias (1). Shared frameworks urgently need to be established, according to the Pistoia Alliance, for the safe adoption of AI because when evidence must be validated, auditable agent workflows that are shaped by subject matter experts and reputable data sources are necessary for the production of reliable results.
“This initiative will address the common issues we all face in integrating AI developments into a cohesive ecosystem that improves output quality,” said
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References
1. Pistoia Alliance.
2. Cole, C.
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