English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 0h 36m | 146 MB
Massive computing power, research, and open-source code have made artificial intelligence (AI) accessible to everyone. But with great power comes great responsibility. As more businesses incorporate AI into their strategies, it’s critical for executives and analysts alike to ensure AI isn’t being deployed for harmful purposes. This course is designed so that a general audience, ranging from business and institutional leaders to specialists working on data teams, can identify the proper application of AI and understand the ramifications of their decisions regarding its use. Instructor Martin Kemka provides a global perspective, reviewing the current policies and laws guiding image recognition, automation, and other AI-driven technologies, and explores what AI holds in store for our future.
Topics include:
- Uses and abuses of AI
- Applications of AI
- Global perspectives on AI
- Types of decisions that can affect AI and its abuse
- Adversarial processes, including security and privacy
- Policy and laws governing AI
Table of Contents
Introduction
1 Overview of safeguarding AI
2 What you should know
Introduction to AI Applications
3 Uses and abuses of AI
4 Applications of AI
5 Technical requirements
6 Global ideas
7 Challenge Self-driving cars
8 Solution Thought experiment on uses
Types of Decisions
9 Image recognition
10 Marketing decisions
11 Pricing decisions
12 Control decisions
13 Challenge Investigate local effects
14 Solution Thought experiment on effects
Adversarial Processes
15 Adversarial patches
16 Security and privacy
17 Challenge Find one adversarial method
18 Solution Thought experiment on method
Policy and Law
19 Cutting edge policies
20 Groups overseeing use
21 Challenge Find policy of one group
22 Solution Thought experiment on groups
Conclusion
23 Actions you can take
Resolve the captcha to access the links!