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DataCamp

AI Ethics

via DataCamp

Overview

Explore AI ethics focusing on principles, fairness, bias reduction, and trust in AI design.

This introductory course on AI ethics provides a comprehensive overview of ethical considerations in the fast-paced domain of artificial intelligence. The course spans industry, policy-making, academia, and society at large, covering principles of AI ethics, strategies to foster fair and equitable AI systems, approaches to minimize biases, and methods to address key issues and establish user trust.




Throughout the course, you will learn about the core principles of ethical AI and expand your understanding of common challenges and opportunities in the field of AI ethics. Through hands-on exercises, you will build your skills to craft ethical AI by design. Begin Learning today!

Syllabus

  • Approaching AI Ethics
    • Understand the foundations of AI Ethics and observe some of the challenges of the ethical use of AI.
  • Below the Surface: AI Ethics
    • Unpack the core principles of AI Ethics and discover a promising technique, explainable AI (XAI), that can integrate these principles into many AI systems.
  • The Way Forward: AI Ethics
    • Discover the value ethical frameworks present to organizations of all sizes and prepare yourself to tackle tomorow's ethical challenges with AI ethics by design.

Taught by

Joe Franklin

Reviews

4.4 rating at DataCamp based on 32 ratings

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