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Google AI
https://ai.google/ - Coggle Diagram
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- Avoid creating or reinforcing unfair bias.
- Be built and tested for safety.
- Be accountable to people.
- Incorporate privacy design principles.
- Uphold high standards of scientific excellence.
- Be made available for uses that accord with these principles.
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Myths
- AI, Machine learning, and Deep
learning are all the same thing
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- All AI systems
are “black boxes,”
far less explainable
than non-AI techniques.
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- AI systems are only
as good as the
data they train on
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- AI systems are inherently unfair
Unfair bias in AI is the result of human decisions
about how an AI application is designed, tested, and deployed.
well-designed, thoroughly vetted
AI systems can limit unfair bias, and may even help us
to identify and combat bias in human decision-making.
- AI will make human labor obsolete
It will cause jobs to shift, as transformative
technologies always have.
Technology breakthroughs—from the cotton gin to the
personal computer—have long been met by the fear of
mass unemployment.
The greater risk is that shifting jobs may increase
income inequality and create challenges for workers
whose jobs are displaced or require new skills.
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- AI is approaching human intelligence
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Concerns
Fairness, Interpretability, Privacy, Security