Generative AI: Impact, Considerations, and Ethical Issues

Explore the multifaceted world of Generative AI with a focus on its ethical use, limitations, and societal impacts in this comprehensive course. This part of the Generative AI Fundamentals Specialization delves into the responsible development and application of Generative AI technologies. From ethical concerns to economic and social impacts, this course provides a deep understanding of how Generative AI is reshaping industries and society, emphasizing the need for ethical guidelines and responsible innovation.

About

What you'll learn

Understand the limitations of Generative AI, including challenges related to training data, accuracy, explainability, and interpretability.

Identify and discuss ethical concerns associated with Generative AI, such as data privacy, copyright issues, and the risks of deepfakes.

Explore considerations for the responsible use of Generative AI to ensure ethical deployment and mitigate potential misuses.

Examine the economic and social impacts of Generative AI, including its potential to drive business growth and societal well-being.

Skill you'll gain

7 hours

Learn More

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV Share it on social media and in your performance review

Curriculum

This course is recommended for individuals interested in machine learning, AI enthusiasts, policymakers, ethicists, and business leaders who aim to understand the broader implications of AI technologies and foster responsible AI practices within their organizations.

Module 1: Limitations and Ethical Issues of Generative AI (2 hours)
  • Exploration of Generative AI’s limitations and the ethical dilemmas posed by its capabilities.
  • Discussion on the legal implications and potential misuses of the technology.
Module 2: Social and Economic Impact and Responsible Generative AI(3 hours)
  • Insights into responsible AI development practices and the role of corporate ethics in AI deployment.
  • Analysis of Generative AI’s effects on the economy and workforce, and its potential to enhance societal benefits.
Module 3: Course Quiz, Project, and Wrap Up (2 hours)
  • A comprehensive quiz to test your understanding of the course material.
  • A final project that allows you to apply your knowledge in analyzing the implications of Generative AI.
  • Guidance on further learning paths and how to continue advancing your understanding of AI ethics.

Generative AI: Impact, Considerations, and Ethical Issues

Understand the limitations of Generative AI, including challenges related to training data, accuracy, explainability, and interpretability.

Identify and discuss ethical concerns associated with Generative AI, such as data privacy, copyright issues, and the risks of deepfakes.

Explore considerations for the responsible use of Generative AI to ensure ethical deployment and mitigate potential misuses.

Examine the economic and social impacts of Generative AI, including its potential to drive business growth and societal well-being.

Admission Process

Step 1: Apply

Apply by filling a simple online application form

Step 2: Screening process

Attend an application screening call

Step 3: Join Program

An offer letter will be rolled out to selected candidates. Secure your seat by paying the admission fee

Get Ahead in the Real World

Become part of our dynamic circle of active learners.