A hardware and software computer-implemented system for transforming a Non-Compliant System into a Compliant system, the system comprising:
- (a) a memory storing machine readable instructions including a governance specification comprising ethical standards, legal requirements, operational methods, and societal expectations;
- (b) a directive extractor, including a reducer, a rationalizer, and an assessor, the DGGD directive extractor executed by one or more processors and configured to:
- (i) receive, by the reducer, a first data structure including the governance specification;
- (ii) determine, based on the governance specification, utilizing a semantic analysis, natural language processing (NLP) and statistical processing, a first payload including a plurality of directives, each of the plurality of directives representing a governance concept;
- (iii) determine, based on the semantic analysis and statistical processing, a reduction of the first payload;
- (iv) generate, based on the reduction of the first payload, a second data structure comprising one or more normalized key-value elements keyed by (directive_id, feature_id), the second data structure enabling reuse of intermediate results during enforcement;
- (v) generate, for each directive of the plurality of directives, triadic meta-tags comprising:
- (A) a “why” meta-tag articulating a rationale for the directive based on the governance specification;
- (B) an “explain” meta-tag providing a detailed clarification of the directive's application in operational contexts;
- and
- (C) a “help” meta-tag offering practical guidance for compliance with the directive;
- (vi) extend each directive with source constraints specifying permissible and impermissible response sources to ensure compliance with the government specification;
- and
- (vii) assign, by the assessor, a confidence score to each directive based on clarity, specificity, coherence of meta-tags, and reliability of source constraints, using automated evaluation metrics;
- (c) a directive Library, stored in the memory, comprising the plurality of directives, configured to be dynamically updated in response to real-time changes in the governance specification;
- (d) a Preprocessor, executed by the one or more processors, configured to:
- (i) receive a raw stimulus input to the Non-Compliant System, comprising text-based queries, sensor data, IoT signals, API calls, or multimodal interactions;
- (ii) preprocess the raw stimulus using statistical processing, tokenization, large language model (LLM) summarization, semantic analysis, and noise reduction thereby generating the first data structure optimized for governance-compliant processing;
- and
- (iii) extract salient features, including keywords, intent, and context, to align the first data structure with the governance specification;
- (e) a directive Executor, executed by the one or more processors, configured to:
- (i) receive the first data structure from the Preprocessor;
- (ii) select, from the directive Library, a subset of directives relevant to the first data structure based on semantic processing and confidence scores;
- (iii) monitor, via a feedback loop, an initial response generated by the Non-Compliant System and evaluate the initial response against the subset of directives relevant to the first data structure, using real-time semantic analysis;
- (iv) maintain, in the memory, a dynamic directive Association Map comprising:
- a first plurality of entities representing criteria that test individual attributes of objects in the memory;
- and
- a second plurality of entities representing logical combinations of the criteria,
- wherein the directive Executor incrementally propagates changes through the first plurality of entities and the second plurality of entities in response to insertions, updates, or removals of data, and reuses intermediate similarity detections thereby minimizing redundant evaluations during directive selection and enforcement;
- (v) adjust, based on the feedback loop, the initial response to generate a compliant response by enforcing the subset of directives, including retrieving data from permissible sources specified in the source constraints and appending the first data structure including the triadic meta-tags to the compliant response to enhance transparency and explainability;
- (vi) verify compliance of the compliant response using semantic processing and real-time feedback mechanisms including the feedback loop, to ensure alignment with the governance specification;
- and
- (vii) implement a Context Protocol to capture, structure, and apply contextual data from stimuli and governance specifications, the context protocol including:
- determining, based on the data from stimuli and governance specifications, a context vector including one or more weighted attributes;
- modulating, based on the context vector, the second data structure by adjusting the subset of directives and/or enforcement for domain-specific, ethically robust responses;
- refining the context vector via the feedback loop using audit-trail entries;
- and
- updating the one or more weighted attributes responsive to the refinement,
- (f) a bias detection and mitigation module, executed by the one or more processors, configured to:
- (i) detect biases in real-time within the directives and Non-Compliant System responses using statistical tests, embedding space analysis, and causal inference techniques;
- and
- (ii) mitigate detected biases by applying adversarial debiasing and fairness constraints during response generation to ensure ethical compliance;
- (g) an audit trail generation module, executed by the one or more processors, configured to generate an audit trail entry documenting, via the second data structure, the raw stimulus, initial response, selected directive, compliant response, triadic meta-tags, bias mitigation actions, and compliance verification to ensure traceability and accountability, wherein the audit trail entry comprises defined fields including one or more of:
- timestamp, transaction id, stimulus summary, selected directives, meta-tags, and/or compliance status and wherein the audit trail entry is append-only, providing tamper-evident traceability, and
- (h) a plurality of autonomous agents, executed by the one or more processors, operating within an agentic framework, comprising:
- (i) a directive Extraction Agent to derive the plurality of directives from the governance specification;
- (ii) a directive Library Management Agent to maintain and update the directive Library;
- (iii) a directive Enforcement Agent to enforce the directives during response generation;
- (iv) a Monitoring Agent to continuously observe Non-Compliant System behavior for compliance;
- (v) an Audit Trail Generation Agent, in communication with the audit trail generation module, to create the audit trail;
- (vi) a Preprocessing Agent to perform the functions of the Preprocessor;
- and
- (vii) a User Interaction Agent to provide explanations and support based on the triadic meta-tags;
- and
- (viii) a Sensor Agent in communication with one or more IoT devices and/or sensors, the Sensor Agent configured to detect and recalibrate a malfunctioning sensor via the feedback loop that applies the one or more weighted attributes from the context vector and the second data structure, and to commit recalibration events to the Audit Trail Generation Agent,
- wherein the system transforms the non-compliant system into the compliant system by dynamically enforcing governance-compliant, ethical, and transparent responses in real-time, integrating specific technological processes of AI governance through automated, adaptive, and auditable compliance, and wherein the system is performed by execution of computer readable program code;
- and non-volatile processing circuitry.