Q107 - What_are_RAIDTs_main_aims
Q107 — What are RAIDT’s main aims?
← RAIDT · Star C0 - RAIDT Core, Definition, Values, Claims and Innovation · primary item: C0.10 · Core claim
Appears in sources
integrated_82#Q1.7
Answer
RAIDT's main aims are to operationalise responsible GenAI governance as run-level evidence and measurable outcomes, rather than leaving governance at the level of aspiration. The foundations and academic-logic papers define three linked artefacts for that purpose: an outcome taxonomy, an evidence protocol, and a scoring method. In substantive terms, RAIDT aims to specify what evidence is necessary and sufficient to judge a governed GenAI use, to preserve that evidence in a run-level evidence pack, and to evaluate the result through the five pillars (Responsibility, Auditability, Interpretability, Dependability, Traceability). The resulting score profile is designed to make governance readiness inspectable, comparable, and reviewable across tasks, configurations, and domains.
A second set of aims concerns explanation and interoperability. RAIDT aims to show how influence methods as governance interventions change both behaviour and evidentiary obligations, so that prompting, retrieval augmentation, PEFT or LoRA, and preference-based alignment are treated as governed configurations rather than informal engineering choices. It also aims to support variance-aware evaluation, reviewer calibration, policy mapping, procurement, and audit sampling, so organisations can connect concrete run evidence to wider governance instruments such as the EU AI Act, ISO/IEC 42001, and the NIST AI RMF. Put simply, RAIDT seeks to make responsible GenAI governance measurable in practice, portable across sectors, and explicit about its own limits.
Practical example
In cybersecurity alert triage, a team may compare several influence configurations: baseline prompting, structured prompting, retrieval against an approved threat-intelligence source, and a stacked configuration with additional safety constraints. RAIDT's aims become practical here. It does not ask only which configuration sounds best; it asks which one leaves the strongest run-level evidence pack, which one is most stable across repeats, and which one produces the strongest score profile for Dependability, Auditability, and Traceability.
That lets the organisation choose a deployment not simply on convenience, but on measurable governance readiness. The same evidence can then support monitoring, internal audit, and future refinement when threat conditions or models change.
Sources in RAIDT papers
08-RAIDT_Foundations_M_V5011-RAIDT_Academic_Logic_M_v11