English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 0h 38m | 175 MB
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.
Table of Contents
1 Getting started with responsible AI
2 What you should know
3 Introduction
4 What is AI
5 What does it mean to be responsible
6 Example case studies
7 Challenge Walk through case study
8 Solution Highlight areas of case study
9 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
15 Understanding algorithms
16 Understanding decisions
17 Challenge Real-world example of a system
18 Solution Real-world example of a system
19 Global policies
20 Best practice
21 Challenge Policy search
22 Solution Policy search
23 Continuing on with responsible AI
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