Passionately curious about Data, Databases and Systems Complexity. Data is ubiquitous, the database universe is dichotomous (structured and unstructured), expanding and complex. Find my Database Research at SQLToolkit.co.uk . Microsoft Data Platform MVP

"The important thing is not to stop questioning. Curiosity has its own reason for existing" Einstein

Sunday 23 May 2021

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 

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