Figure 1: RAISEF's three pillars (operational integrity/GRIESS highlighted).
Figure 1: RAISEF's three pillars (operational integrity/GRIESS highlighted).

Operational Integrity's 6 Drivers

GRIESS

Governance

Governance turns policy into day-to-day practice across the lifecycle. It assigns owners for requirements, data, models, and deployments, with clear approvals, change control, and incident handling. Governance keeps artifacts versioned and reviewable, aligns work with organizational standards, and ensures decisions are logged so that audits can confirm what was built and why. Strong governance helps teams coordinate responsibly at scale, even when contributors and vendors change over time.

Robustness

Robustness ensures the system behaves reliably under stress, shift, and uncertainty. It favors disciplined testing, adversarial checks, and validation on representative scenarios, including rare but plausible edge cases. Teams monitor error distributions and degrade gracefully when inputs are out of scope. Robustness connects model behavior to operational realities, so performance in production remains stable as data, traffic, and context evolve.

Interpretability

Interpretability helps practitioners inspect what the system is doing and why. It supports developer tools, diagnostics, and structured traces that surface salience, features, or rules in forms appropriate to the technology. Interpretability is not a press release. It is a working view that helps engineers and reviewers detect bugs, bias, and unintended shortcuts. With the right signals, teams can iterate faster and correct issues before they reach users.

Explainability

Explainability gives affected people reasons they can understand and act upon. It aligns the explanation to the audience, the risk, and the decision pathway. For low risk, a concise rationale may be enough. For higher risk, explanations include factors, data sources, limitations, and how to contest outcomes. Good explainability is faithful to the underlying system, avoids false certainty, and improves trust through clarity rather than marketing language.

Security

Security protects models, data, and infrastructure from misuse and tampering. It covers secure development, access control, key management, secret rotation, and monitoring for abuse patterns like model exfiltration or prompt injection. Security also includes data protection in transit and at rest, safe deployment practices, and timely patching. The goal is to reduce attack surface while keeping necessary operations reliable and auditable.

Safety

Safety focuses on preventing and mitigating harm to people and systems. It defines unacceptable behaviors, runs red-team and stress tests, and installs safeguards that block hazardous outputs or actions. Safety planning includes kill switches, rate limits, containment, and post-incident learning. With clear thresholds and escalation paths, safety measures keep failures small, reversible, and well understood, even when the environment is complex.

Operating Integrity Inter-Driver Relationship List

The following table summarizes the 0 operating integrity related, inter-driver relationships. The full 105 relationships can be viewed here:

Note: The convention when displaying drivers Ds vs. Dt, is to display the first driver alphabetically as Ds.

No driver relationships available.

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