About
Open Credit Scoring is an initiative focused on advancing more transparent, accountable, and trustworthy approaches to credit scoring and AI-driven underwriting.
We believe high-stakes financial AI systems should not operate as opaque black boxes that are difficult for consumers, institutions, and regulators to understand or govern.
Our mission is to explore how causal AI, systems thinking, and open standards can help build the next generation of financial decision systems.
Why Open Credit Scoring?
Credit scores influence access to housing, transportation, education, entrepreneurship, and economic opportunity.
Yet much of the infrastructure behind modern credit scoring remains proprietary and difficult to evaluate externally.
At the same time, advances in machine learning and alternative data are rapidly transforming financial decision-making systems. While these technologies may improve predictive performance, they also raise important questions.
Open Credit Scoring was created to explore whether a more open, scientifically grounded, and governable approach to financial AI is possible.
Our Approach
The initiative investigates how causal inference and systems thinking can augment traditional machine learning approaches used in credit underwriting.
Rather than relying only on statistical correlations, we explore how causal models may help represent complex relationships, interventions, and long-term system behavior.
We believe trustworthy AI requires more than prediction accuracy alone.
It also requires systems that can be understood, governed, challenged, and improved over time.
Open Standards and Collaboration
Open Credit Scoring supports the development of open technical standards and collaborative research for high-stakes AI systems.
We believe open ecosystems can help improve interoperability, transparency, scientific rigor, public trust, institutional accountability, and long-term innovation.
The initiative welcomes collaboration across:
Research Areas
Current areas of focus include:
Long-Term Vision
We believe the future of financial AI requires a transition from opaque predictive systems toward transparent and governable decision architectures.
Our long-term vision is to help establish an open technical foundation for trustworthy financial AI systems.
Open Credit Scoring exists to help advance that future.