Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

LinkedIn Learning

Responsible AI: Principles and Practical Applications

via LinkedIn Learning

Write review
GetSmarter Ad

MIT Sloan AI Adoption: Build a Playbook That Drives Real Business ROI

Learn More → DataCamp Ad

PowerBI Data Analyst - Create visualizations and dashboards from scratch

Learn More →

Overview

Syllabus

Introduction
  • Overview of responsible AI
1. What Is AI and How Is It Used?
  • Introduction to artificial intelligence (AI)
  • AI myths and misunderstandings
2. AI Benefits and Risks
  • Benefits of AI
  • Risks of AI
3. AI Application Domains
  • Introduction to AI experts
  • AI in HR and hiring
  • AI in social media
  • AI in healthcare
  • AI in climate
4. Developing Responsible AI
  • Responsible and trustworthy AI
  • Responsible AI principles and practices
  • Risk and impact assessment models
  • Agency and action: Your role in AI
Conclusion
  • Next steps and resources

Taught by

Jill Finlayson, Brandie Nonnecke and Tsu-Jae Liu

Reviews

4.7 rating at LinkedIn Learning based on 1708 ratings

Start your review of Responsible AI: Principles and Practical Applications

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.