Academic and Commercial Partnership
Too much AI development follows a playbook of extracting data, optimizing for engagement, and addressing consequences later. That approach built the attention economy. It also eroded public trust and the shared capacity for informed decision-making.
There's growing interest in alternatives. Consumer fatigue with social media is measurable. Regulatory pressure is building. And a generation of workers and customers is looking for companies that treat them as partners rather than products.
The Calibration Project offers a framework for building differently: Transparency, Calibration Support, and Fair Exchange. These principles aren't just ethical ideals. They're the foundation for business models that don't depend on manipulation.
---
Why Partner With Us
The Calibration Project develops frameworks for building AI and media systems that support human judgment rather than exploit it. Our three principles — Transparency, Calibration Support, and Fair Exchange — offer a foundation for business models that don't depend on manipulation.
We work with companies interested in implementing these principles, whether you're a startup building something new or an established company exploring how to do this better.
---
What Partnership Looks Like
Learning and Implementation. We work with your teams to understand how the three principles apply to your specific context. What would it mean for your product to strengthen user judgment? What would fair exchange look like in your business model?
Visibility. Partners are featured in Campus Tour events and acknowledged in our publications as examples of responsible building.
Research Access. Partners contribute to our ongoing research on ethical AI implementation and receive early access to findings.
Network. Help build a coalition of business leaders, startups, and established companies all working on the same problem from different angles. The relationships formed here will define the industry that's emerging.
---
Who We're Looking For
- Startups building products that align with calibration principles — or want to
- Established companies exploring how to implement ethical AI practices
- Business leaders who want to be part of shaping what comes next

