Generative AI: Impact, Considerations, and Ethical Issues

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.

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Assessments

6 assignments

Taught in English

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This course is part of the Generative AI Fundamentals Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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There are 3 modules in this course

In this course, you will explore the impact of generative artificial intelligence (AI) on society, the workforce, organizations, and the environment.

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.

This module delves into the various limitations, concerns, and ethical issues associated with generative AI. You will gain insights into the limitations related to training data and the lack of accuracy, explainability, and interpretability. You will learn about various ethical issues and concerns around the use of generative AI, including data privacy, copyright infringement, and hallucination. You will explore the potential risks and misuses of generative AI, focusing on deepfake. Finally, you will identify the legal issues and implications around generative AI.

What's included

8 videos4 readings2 assignments1 discussion prompt2 plugins

8 videosTotal 41 minutes

Course Introduction3 minutesPreview module
Limitations of Generative AI5 minutes
Issues and Concerns About Generative AI5 minutes
Hallucinations of Text and Image Generating LLMs4 minutes
Hallucinations of Code-Generating LLMs 6 minutes
AI Portraits and Deepfakes4 minutes
Enhancing LLM Accuracy with RAG6 minutes
Legal Issues and Implications of Generative AI4 minutes

4 readingsTotal 15 minutes

Course Overview3 minutes
Specialization Overview5 minutes
Helpful Tips for Course Completion5 minutes
Lesson Summary: Limitations, Concerns, and Issues of Generative AI2 minutes

2 assignmentsTotal 22 minutes

Graded Quiz - Limitations and Ethical Issues of Generative AI 12 minutes
Practice Quiz - Limitations, Concerns, and Issues of Generative AI 10 minutes

1 discussion promptTotal 10 minutes

Ethical Issues about Generative AI10 minutes

2 pluginsTotal 50 minutes

Hands-on-Lab : Hallucinations of LLMs 30 minutes
Hands-on-Lab : Creating AI Portraits 20 minutes

In this module, you will examine the importance and considerations for responsible development and use of generative AI. You will discover the perspective of different key players, including IBM, about the ethical use of AI. You will also understand how corporations can use generative AI beyond the profit motive to safeguard the interests of all involved stakeholders. Furthermore, you will explore the economic and social impact of generative AI. You will understand the potential economic growth that businesses can achieve with generative AI and how generative AI can benefit society and social well-being. Finally, you will identify the impact of generative AI on the workforce.

What's included

7 videos3 readings3 assignments1 discussion prompt1 plugin

7 videosTotal 46 minutes

Considerations for Responsible Generative AI 6 minutesPreview module
Implementing Responsible Generative AI Across Domains6 minutes
AI Ethics: Perspective of Key Players7 minutes
Trustworthy AI: An IBM Perspective 9 minutes
Economic Implications of Generative AI 5 minutes
Social Implications of Generative AI 5 minutes
A Reimagined Workforce with Generative AI6 minutes

3 readingsTotal 14 minutes

Generative AI and Corporate Social Responsibility 10 minutes
Lesson Summary: Considerations for Responsible AI2 minutes
Lesson Summary: Social and Economic Impact 2 minutes

3 assignmentsTotal 32 minutes

Graded Quiz - Social and Economic Impact and Responsible Generative AI 12 minutes
Practice Quiz - Considerations for Responsible AI10 minutes
Practice Quiz - Social and Economic Impact 10 minutes

1 discussion promptTotal 10 minutes

Generative AI's Influence on Mental Health10 minutes

1 pluginTotal 30 minutes

Ethical Considerations for Generative AI in Different Domains30 minutes

The module includes a final project based on the concepts covered in the course. The module also includes a glossary to enhance comprehension of generative AI-related terms. This module includes a graded quiz to test and reinforce your understanding of concepts covered in the course. Finally, the module guides you through the next steps in your learning journey.