Responsible
AI governed by accountability, privacy, safety, transparency and meaningful human oversight.
CREED.AIPrimum non nocereAbout the center
Evidence into practice.
Benefit without exclusion.
CREED.AI is the Center for Responsible, Evidence-based and Equitable Deployment of AI—a multidisciplinary institution focused on improving health through trustworthy implementation.
Our mission
People-centered AI for better care and better health.
We develop, evaluate, implement and scale responsible AI solutions that improve healthcare, public health and health-system performance.
Our work asks not only whether AI can perform, but whether it improves outcomes in real settings, uses resources wisely, earns trust and reaches people who have historically benefited last.
Why CREED.AI is needed
Too fast to trust.
Too slow to reach.
AI can harm when adopted without adequate evidence. It can also deepen inequity when a beneficial tool remains confined to pilots, elite institutions or well-resourced settings.
- 01
Vet before deployment
Assess validity, safety, usefulness, equity, privacy and value.
- 02
Demonstrate where need is greatest
Include underserved populations and low-resource settings in well-governed studies.
- 03
Adapt and accelerate
Build local capacity, workflow fit, infrastructure and financing into every scale plan.
- 04
Monitor after launch
Track outcomes, harms, access, cost and sustainability—and publish what does not work.
Our ethical anchor
Primum non nocereFirst, do no harm.
For CREED.AI, this duty is active: anticipate risk, test claims, listen to affected communities, disclose limitations, correct inequity and stop systems that fail people.
The phrase is a modern expression of the closely related duties found in the Hippocratic tradition. It guides our approach without substituting for modern ethics, regulation or community accountability.
The CREED framework
Four questions for every health AI decision.
Evidence-based
AI evaluated through technical validity, real-world effectiveness, health outcomes and economic value.
Equitable
AI designed and monitored to reduce disparities, broaden access and reflect the communities it serves.
Deployment
AI integrated through workflow design, local adaptation, workforce readiness and continuous learning.
Equity in practice
Vulnerable communities should not be the last stop.
People living in poverty, immigrants, refugees, Indigenous and tribal communities, rural populations and people served by safety-net systems often face structural barriers, workforce shortages and human bias.
CREED.AI works with—not merely for—communities to demonstrate whether AI can safely overcome those barriers and deliver the same or better quality of care without exploitation or inappropriate commercial use.
Time to equitable benefit is a core health outcome.
CREED.AI translates authoritative global principles and standards into practical questions for evaluation and deployment.
View guiding documents ↗Governance
Trust must be designed into the institution.
Scientific leadership
Interdisciplinary guidance across health, public health, AI, implementation, economics and evaluation.
Community accountability
Meaningful participation by patients and communities affected by health AI decisions.
Independent review
Transparent methods, conflict disclosures and separation between sponsorship and evidence judgments.
Continuous learning
Monitoring, correction, version history and public reporting throughout deployment.
Our public infrastructure
Connect with the founder
Dr. Nagesh N Borse
Dr. Borse is a CDC-trained epidemiologist, public-health executive and health-systems leader with more than 25 years of experience across government, global health, academia and industry.
He founded CREED.AI to help move responsible AI into real-world health practice and welcomes collaboration with communities, researchers, health systems and implementation partners.