Ethics Framework

A JavaScript framework for ethical decision-making using supervised and unsupervised machine learning models.

Features

• Ethical decision-making model
• Bias detection and mitigation
• Compliance monitoring
• Anomaly detection
• Pattern recognition
• Feature extraction

Installation

To install the package, use npm:

npm install ethics-framework

Usage

Import the Framework

First, import the EthicsFramework class:

import EthicsFramework from 'ethics-framework';

Example

Here’s an example demonstrating how to use the framework:

import EthicsFramework from 'ethics-framework';

const framework = new EthicsFramework();

const trainingData = [
    [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0],
    [1.0, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1]
];
const trainingLabels = [[1], [0]];

(async () => {
    // Train the ethical decision model
    await framework.trainEthicalDecisionModel(trainingData, trainingLabels);

    const testData = [
        [0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 0.1],
        [0.9, 0.8, 0.7, 0.6, 0.5, 0.4, 0.3, 0.2, 0.1, 1.0]
    ];

    // Predict with the ethical decision model
    const predictions = framework.predictWithEthicalModel(testData);
    console.log("Predictions:", predictions);

    // Detect bias in data
    const biases = framework.checkForBias(testData);
    console.log("Biases detected:", biases);

    // Mitigate detected bias
    const mitigatedData = framework.mitigateDetectedBias(testData);
    console.log("Mitigated Data:", mitigatedData);

    // Ensure compliance
    const compliance = framework.ensureCompliance(testData);
    console.log("Compliance:", compliance);

    // Detect anomalies in data
    const anomalies = await framework.detectEthicalAnomalies(testData);
    console.log("Anomalies:", anomalies);

    // Recognize patterns in data
    const patterns = await framework.recognizeEthicalPatterns(testData);
    console.log("Patterns:", patterns);

    // Extract features from data
    const features = await framework.extractEthicalFeatures(testData);
    console.log("Features:", features);
})();

API

EthicsFramework

Methods

• trainEthicalDecisionModel(data, labels): Trains the ethical decision model with provided data and labels.
• predictWithEthicalModel(data): Predicts outcomes using the ethical decision model.
• checkForBias(data): Detects bias in the provided data.
• mitigateDetectedBias(data): Mitigates detected bias in the provided data.
• ensureCompliance(data): Ensures the provided data complies with predefined rules.
• detectEthicalAnomalies(data): Detects anomalies in the provided data.
• recognizeEthicalPatterns(data): Recognizes patterns in the provided data.
• extractEthicalFeatures(data): Extracts features from the provided data.

Models

EthicalDecisionModel

A machine learning model for ethical decision-making.

• train(data, labels): Trains the model.
• predict(data): Predicts outcomes.

BiasDetection

Detects and mitigates bias in data.

• detectBias(data): Detects bias in the provided data.
• mitigateBias(data): Mitigates detected bias in the provided data.

ComplianceMonitor

Ensures data complies with predefined rules.

• checkCompliance(data): Checks compliance of the provided data.

AnomalyDetector

Detects anomalies in data.

• detect(data): Detects anomalies in the provided data.

PatternRecognizer

Recognizes patterns in data.

• recognizePatterns(data): Recognizes patterns in the provided data.

FeatureExtractor

Extracts features from data.

• extractFeatures(data): Extracts features from the provided data.

Contributing

Contributions are welcome! Please open an issue or submit a pull request.

License

This project is licensed under the MIT License.

Bugs and Issues

Please report any bugs or issues on the GitHub issues page.

Author

Beta Priyoko - Email