The ArcPoint Standard for Trustworthy AI
Whether deploying AI for mission-critical systems or market agility, every ArcPoint solution follows the seven foundational principles of Trustworthy AI as defined by the National Institute of Standards and Technology (NIST). These principles aren't just checkboxes—they're embedded into our methodology, technical architecture, and ongoing support.
This framework ensures that your AI systems don't just work—they work responsibly, ethically, and in alignment with regulatory requirements. From initial strategy through deployment and monitoring, we maintain these standards as non-negotiable guardrails.
Safe
Systems designed to prevent harm and operate reliably under all conditions
Valid
Thoroughly tested to ensure outputs are accurate, reliable, and fit for purpose
Robust
Resilient performance across diverse conditions and edge cases
Fair
Bias-tested and monitored to ensure equitable outcomes across all user groups
Accountable
Full audit trails and clear ownership of decisions and outcomes
Secure
Protected against adversarial attacks, data breaches, and unauthorized access
Transparent
Explainable logic and decision-making processes that stakeholders can understand
"AI systems must be worthy of trust. That means they must be designed, developed, and deployed in ways that are safe, secure, and respect fundamental rights and values."
— NIST AI Risk Management Framework