LinkedIn Learning – Responsible AI – Principles and Practical Applications

LinkedIn Learning – Responsible AI – Principles and Practical Applications
English | Tutorial | Size: 350.88 MB

Artificial intelligence (AI) is becoming an integral component of business practices across all sectors. As businesses turn to automation to improve efficiency and effectiveness, they must be careful to mitigate the risks of AI while maximizing its benefits. In this course, Tsu-Jae Liu-the dean of the College of Engineering at the University of California, Berkeley-Brandie Nonnecke, and Jill Finlayson clearly explain the need for responsible AI, with examples of practical applications.

Learning Objectives:
• Learn about AI, its components, how it is being used, and why it is becoming a pervasive
part of reality.
• Dive into several benefits of AI, with practical examples of each.
• Explore several areas where AI is being used, such as HR and hiring, social media,
healthcare, and climate.
• Review the risks posed by AI, including perpetuating biases and contributing to climate
change due to increased energy consumption.
• Find out about trustworthy AI development and deployment, with responsible AI principles
and practices, risk and impact assessment models, and clear guidance on how you can be an
effective, responsible AI leader.

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