Introduction to Responsible AI Algorithm Design
39mBeginner2020-10-28
Authors
Martin Kemka
Martin Kemka is the founder of Northraine, a machine learning production house.
Course details
What does it mean to design responsible AI algorithms? Instructor Martin Kemka introduces important basics, like defining AI and knowing what it means to be responsible in developing them. Learn how algorithms are deployed and how you can track their use and abuse. Martin also explains the risks of being irresponsible with AI. Find out how an algorithm is created and how you can monitor it. Examine the decision side of the system. Hear about global policies and best practices. Learn how policies differ from one country to another, explore open-source software solutions, and more.
Skills covered
Responsible AIIntroduction toArtificial Intelligence FoundationsArtificial Intelligence (AI)
Concepts
Introduction
- Getting started with responsible AI
- What you should know
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
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
Comprehension
- Understanding algorithms
- Understanding decisions
- Challenge - Real-world example of a system
- Solution - Real-world example of a system
Best Practices
- Global policies
- Best practice
- Challenge - Policy search
- Solution - Policy search
Conclusion
- Continuing on with responsible AI