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LinkedIn Learning

Introduction to Responsible AI Algorithm Design

via LinkedIn Learning

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Walk through the steps involved in designing responsible AI and to making responsible decisions. Along the way, check your learning with included challenge and solution sets.

Syllabus

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

Taught by

Martin Kemka

Reviews

4.6 rating at LinkedIn Learning based on 605 ratings

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