# Ethical AI Tester

## Overview

The Ethical AI Tester is a Python-based tool designed to evaluate the ethical compliance of autonomous AI systems. It provides a framework to test AI models for bias, fairness, and other ethical considerations based on predefined guidelines. The tool generates a comprehensive compliance report in various formats (console, JSON, or CSV).

## Features

- **Bias Detection**: Tests for bias in AI systems by analyzing the difference in outputs across different groups.
- **Fairness Testing**: Ensures that AI systems provide a minimum number of unique predictions to avoid unfair outcomes.
- **Customizable Configuration**: Define your own ethical guidelines using a YAML configuration file.
- **Flexible Output Formats**: Generate compliance reports in console, JSON, or CSV formats.

## Requirements

- Python 3.7+
- pandas
- numpy
- pyyaml
- pytest (for testing)

## Installation

Install the required dependencies using pip:

```bash
pip install pandas numpy pyyaml pytest
```

## Usage

1. Create a YAML configuration file specifying the ethical guidelines for testing. For example:

```yaml
bias:
  group_column: "group"
  input_column: "input"
  threshold: 0.1

fairness:
  input_column: "input"
  min_unique_predictions: 2
```

2. Prepare a CSV file containing the test data. For example:

```csv
group,input
A,1
A,2
B,3
B,4
```

3. Run the Ethical AI Tester with the following command:

```bash
python ethical_ai_tester.py --config config.yaml --data test_data.csv --output console
```

Replace `config.yaml` with the path to your configuration file and `test_data.csv` with the path to your test data file. Use the `--output` flag to specify the output format (`console`, `json`, or `csv`).

## Running Tests

To run the test suite, use the following command:

```bash
pytest test_ethical_ai_tester.py
```

This will execute all the test cases and ensure the tool is functioning as expected.

## License

This project is licensed under the MIT License.