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

Thursday 1 April 2021

Responsible AI

Responsible AI is an important topic to research and to see how to adopt this approach.

Microsoft lists its six key principles for responsible AI: accountability, inclusiveness, reliability and safety, fairness, transparency, and privacy and security. Creating responsible and trustworthy AI is most important and these are essential principals which have two perspectives: ethical and explainable. The Microsoft AI Principles for AI systems are 

  • Fairness - should treat all people 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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