Generative AI: Impact, Considerations, and Ethical Issues

This course is part of Generative AI Fundamentals Specialization

Instructor: Rav Ahuja

What you'll learn

  •   Describe the limitations of generative AI and the related concerns. 
  •   Identify the ethical issues, concerns, and misuses associated with generative AI.
  •   Explain the considerations for the responsible use of generative AI. 
  •   Discuss the economic and social impact of generative AI.
  • Skills you'll gain

  •   Safety and Security
  •   Generative AI
  •   Artificial Intelligence
  •   Ethical Standards And Conduct
  •   Data Ethics
  •   Information Privacy
  •   Socioeconomics
  •   Business Ethics
  •   Machine Learning
  •   Workforce Development
  •   Intellectual Property
  •   Environmental Social And Corporate Governance (ESG)
  •   Legal Risk
  •   Workforce Management
  • There are 3 modules in this course

    This course is suitable for anyone interested in learning about the ethical, economic, and social implications of generative AI and how generative AI can be used responsibly. It will benefit professionals, executives, policymakers, and students. In this course, you will learn about the ethical concerns of generative AI, including data privacy, biases, copyright infringement, and hallucination. You will identify the misuses related to generative AI, including deepfakes. Further, in the course, you will examine the considerations for the responsible use of generative AI. You will explore the broader implications of generative AI on transparency, accountability, privacy, and safety. Finally, you will learn about the socioeconomic impacts of generative AI. The examples and cases included in the course help to realize the considerations for generative AI in real-life scenarios. You will hear from practitioners about the realities, limitations, and ethical considerations of generative AI.

    Social and Economic Impact and Responsible Generative AI

    Course Quiz, Project, and Wrap-Up

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