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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

0. Introduction

01 - Getting started with responsible AI
02 - What you should know

1. Introduction

03 - Introduction
04 - What is AI
05 - What does it mean to be responsible
06 - Example case studies
07 - Challenge - Walk through case study
08 - Solution - Highlight areas of case study

2. Overview and Risks

09 - A day in the life of an algorithm
10 - How algorithms are deployed and monitored
11 - Responsible as an afterthought
12 - Risks of irresponsible AI
13 - Challenge - Brainstorm a risk
14 - Solution - Brainstorm a risk

3. Comprehension

15 - Understanding algorithms
16 - Understanding decisions
17 - Challenge - Real-world example of a system
18 - Solution - Real-world example of a system

4. Best Practices

19 - Global policies
20 - Best practice
21 - Challenge - Policy search
22 - Solution - Policy search

Conclusion

23 - Continuing on with responsible AI