EdX

Impact, Ethics, and Issues with Generative AI (edX)

Offered by IBM,
Impact, Ethics, and Issues with Generative AI (edX)

In this course, you will learn about the socioeconomic impacts of generative AI and related issues such as job and copyright implications. You will also explore the ethical concerns related to generative AI and examine how to use it responsibly.

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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 course is part of the Generative AI for Everyone Professional Certificate.

What you'll learn
• Describe the limitations of generative AI and the related concerns.
• Discuss 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.
• Explain the impact of generative AI on jobs and the workforce.

Syllabus

Module 1: Limitations and Ethical Issues of Generative AI
• Video: Course Introduction
• Reading: Course Overview
• Reading: Program Overview
• Reading: Helpful Tips for Course Completion
• Video: Limitations of Generative AI
• Video: Issues and Concerns about Generative AI
• Video: Hallucinations of Text and Image-Generating LLMs
• Video: Hallucinations of Code-Generating LLMs
• Hands-on Labs: Hallucinations of LLMs
• Video: AI Portraits and Deepfakes
• Hands-on Labs: Creating AI Portraits
• Video 7: Legal Issues and Implications of Generative AI
• Reading: Module Summary
• Practice Quiz - Limitations, Concerns, and Issues of Generative AI
• Graded Quiz - Limitations and Ethical Issues of Generative AI
• Discussion Prompt: Ethical Issues about Generative AI

Module 2: Social and Economic Impact and Responsible Generative AI
• Video: Considerations for Responsible Generative AI
• Video: Implementing Responsible Generative AI across Domains
• Hands-on Lab: Ethical Considerations for Generative AI in Different Domains
• Video: AI Ethics: Perspective of Key Players
• Reading: Generative AI and Corporate Social Responsibility
• Video: Economic Implications of Generative AI
• Video: Social Implications of Generative AI
• Video: A Reimagined Workforce with Generative AI
• Reading: Module Summary
• Practice Quiz: Social and Economic Impact and Responsible Generative AI
• Graded Quiz: Social and Economic Impact and Responsible Generative AI
• Discussion Prompt: Generative AI’s Influence on Mental Health

Module 3: Course Quiz, Project, and Wrap-up
• Glossary - Generative AI: Introduction and Applications
• Reading: Implementing Responsible Generative AI
• Final Project: Preparing Your Mind for Generative AI
• Graded Quiz - Generative AI: Impact, Considerations, and Ethical Issues
• Reading: Congratulations and Next Steps
• Reading: Thanks from the Course Team

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