IBM - Generative AI: Impact, Considerations, and Ethical Issues
- Offered byCoursera
Generative AI: Impact, Considerations, and Ethical Issues at Coursera Overview
Duration | 5 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Generative AI: Impact, Considerations, and Ethical Issues at Coursera Highlights
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Generative AI: Impact, Considerations, and Ethical Issues at Coursera Course details
- 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.
- 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.
Generative AI: Impact, Considerations, and Ethical Issues at Coursera Curriculum
Limitations and Ethical Issues of Generative AI
Course Introduction
Limitations of Generative AI
Issues and Concerns About Generative AI
Hallucinations of Text and Image Generating LLMs
Hallucinations of Code-Generating LLMs
AI Portraits and Deepfakes
Enhancing LLM Accuracy with RAG
Legal Issues and Implications of Generative AI
Course Overview
Specialization Overview
Helpful Tips for Course Completion
Lesson Summary: Limitations, Concerns, and Issues of Generative AI
Graded Quiz - Limitations and Ethical Issues of Generative AI
Practice Quiz - Limitations, Concerns, and Issues of Generative AI
Ethical Issues about Generative AI
Hands-on-Lab : Hallucinations of LLMs
Hands-on-Lab : Creating AI Portraits
Social and Economic Impact and Responsible Generative AI
Considerations for Responsible Generative AI
Implementing Responsible Generative AI Across Domains
AI Ethics: Perspective of Key Players
Trustworthy: An IBM Perspective
Economic Implications of Generative AI
Social Implications of Generative AI
A Reimagined Workforce with Generative AI
Generative AI and Corporate Social Responsibility
Lesson Summary: Considerations for Responsible AI
Lesson Summary: Social and Economic Impact
Graded Quiz - Social and Economic Impact and Responsible Generative AI
Practice Quiz - Considerations for Responsible AI
Practice Quiz - Social and Economic Impact
Generative AI's Influence on Mental Health
Ethical Considerations for Generative AI in Different Domains
Course Quiz, Project, and Wrap-Up
Generative AI: Impact, Considerations, and Ethical Issues at Coursera Admission Process
Important Dates
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