Ethics Self-Assessment Tool

 The ethics self assessment tool helps researchers use an ethics framework throughout their research.

This tool helps shapes discussions and highlights ethical issues. The questions it makes researchers ask is what should be done. Biases in AI research can cause harm or disproportionately weight outputs. Potential biases could come from data sources, methods employed and in the outputs and how the results are interpreted. The framework is here. 

Microsoft is investing in helping with understanding ethics in the business and research arena. The Microsoft ethical rules are based on 6 principles.  To get started with that holistic approach to AI and learning go to the AI Business School for Artificial Intelligence. 

The principles of responsible AI from Microsoft are

Fairness - should treat all people should be fairly

Reliability & Safety -  should perform reliably and safely

Privacy & Security - should be secure and respect privacy

Inclusiveness - should empower everyone and engage people

Transparency - should be understandable

Accountability - People should be accountable for AI systems