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LinkedIn Learning

Safeguarding AI

via LinkedIn Learning

Overview

Make sure your organization is using artificial intelligence for good. Explore the ethical, legal, and strategic issues guiding the use of AI and machine learning.

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.

Syllabus

Introduction
  • Overview of safeguarding AI
  • What you should know
1. Introduction to AI Applications
  • Uses and abuses of AI
  • Applications of AI
  • Technical requirements
  • Global ideas
  • Challenge: Self-driving cars
  • Solution: Thought experiment on uses
2. Types of Decisions
  • Image recognition
  • Marketing decisions
  • Pricing decisions
  • Control decisions
  • Challenge: Investigate local effects
  • Solution: Thought experiment on effects
3. Adversarial Processes
  • Adversarial patches
  • Security and privacy
  • Challenge: Find one adversarial method
  • Solution: Thought experiment on method
4. Policy and Law
  • Cutting edge policies
  • Groups overseeing use
  • Challenge: Find policy of one group
  • Solution: Thought experiment on groups
Conclusion
  • Actions you can take

Taught by

Martin Kemka

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