microsoft’s ai ethics principles
Fairness
What does fairness in AI mean?
AI systems should treat all people fairly.
(In fact AI, if done right, can make the world a fairer place!)
Reliability and Safety
What does reliable and safe AI mean?
AI systems should perform reliably and safely.
(AI builders need to ensure that in a rush to try to grow their companies (or their governments) that their technology doesn’t harm people.)
Privacy and Security
What does private and secure AI mean?
AI systems should be secure and respect privacy.
(In a world of data leaks and reducing privacy, this matters now more than ever!)
Inclusiveness
What does inclusive AI mean?
AI systems should empower everyone and engage people.
(AI can give us the tools to help everyone reach their full potential)
How did it make you you feel watching the video with no sound?
Transparency
What does transparent AI mean?
AI systems should be understandable.
(It should be clear what the AI is REALLY being used for.)
Accountability
What does accountable AI mean?
AI systems should have algorithmic accountability.
And while all of these ethical principles are super important,
this one might be the most important.
It means that at the end of the day, AI must always be accountable to humans. We are creating AI to make a better world, in a way that we think is right!
microsoft’s ai ethics principles
Fairness: AI systems should treat all people fairly.
Inclusiveness: AI systems should empower everyone and engage people.
Reliability & Safety: AI systems should perform reliably and safely.
Privacy & Security: AI systems should be secure and respect privacy.
Transparency: AI systems’ real goals should be clear.
Accountability: AI systems should be accountable to other humans.
MCC AI 4 Good 