Introduction
Getting started with responsible AI
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What you should know
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1. Introduction
What does it mean to be responsible?
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Introduction
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What is AI?
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Example case studies
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Challenge: Walk through case study
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Solution: Highlight areas of case study
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2. Overview and Risks
A day in the life of an algorithm
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How algorithms are deployed and monitored
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Responsible as an afterthought
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Risks of irresponsible AI
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Challenge: Brainstorm a risk
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Solution: Brainstorm a risk
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3. Comprehension
Understanding algorithms
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Understanding decisions
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Challenge: Real-world example of a system
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Solution: Real-world example of a system
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4. Best Practices
Global policies
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Best practice
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Challenge: Policy search
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Solution: Policy search
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Conclusion
Continuing on with responsible AI
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Glossary_IntroductionResponsible_AI_Algorithm_Design.zip
(91 KB)