C++ Stable

Core Ethics Engine v3.1.2

High-performance ethical reasoning engine designed for AI decision-making systems with real-time bias tracking and moral constraint enforcement.

Input Pipeline

Accepts raw sensor data, decision parameters, and ethical constraints through standardized JSON/protobuf messaging.

Processing Modules

Real-time bias tracking with differential impact metrics
Constraint enforcement with symbolic logic rules
Causal chain explanation generator
Dynamic ethical scenario simulations

Decision Output

Returns probabilistic ethical scores with detailed justification trees for auditing and compliance.

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Ethical
Constraint
Enforcement

Moral Reasoning Kernel

Constraint Mapping

Validation Pipeline

Integration Guide

#include "ethical_engine.h"
#include "json_parser.h"

EthicsEngine engine(Config{
    bias_thres = 0.85,
    debug_level = 3,
    model_path = "/models/ethics_v3.onnx"
});

DecisionInput input;
input.sensor_data = load_json("scenario.json");
input.constraints = {
    {"privacy_preservation", "autonomy", "harm_minimization"},
    {"medical_treatment", "personal_data", "life_or_death"}
};

DecisionResult result = engine.evaluate(input);

if (result.trusted_score < 0.7) {
    std::cout << "Ethical threshold NOT met:\n";
    for (const auto& reason : result.violation_explanation) {
        std::cout << "  • " << reason << "\n";
    }
    engine.generate_report("scenario_report.txt");
}

140

Active checks

92%

Pass rate

Scenarios

3.2ms

Latency

Verified Integrations

ROCm Ethical AI

GPU accelerated constraint evaluation
Integrated with PyTorch/ONNX
Quantum AI ethics validation

Language Grid

Multilingual ethical filtering
Real-time linguistic ethics
Compliant LLM prompting

SmartDecide

Autonomous decision logging
Regulatory compliance engine
Automated justification generation