Advancing Gold Standard Science with Responsible AI
Federal agencies are now tasked with a bold mandate: implement the OSTP’s Gold Standard Science (GSS) framework with rigor, transparency, and efficiency — while reducing administrative burdens and embracing AI.
How can we achieve reproducibility, transparency, bias detection, and conflict-of-interest management — without overwhelming researchers with administrative burden?
This webinar offers a practical path forward.
Join us for a high-impact session on how Angularis.ai, a leader in AI governance, helps agencies operationalize the GSS tenants using responsible AI practices.
- Join us for a high-impact session on how Angularis, a leader in AI governance, operationalizes the GSS tenets using responsible AI practices
We will Share
- The use of policy templates, oversight workflows, tools, and governance structures that align directly with GSS focus areas: reproducibility, transparency, bias mitigation, and conflict-of-interest management.
- Adoption of a “governance-by-design” approach, integrating accountability from the start of AI initiatives.
