Generative AI
Labor and the Future of Work
This course gives a broad overview of the impact that generative artificial intelligence (AI) could have on jobs and how it can be used to support everyday tasks. As the use of generative AI increases, organizations are finding new ways to augment their work, impacting the number and types of jobs we can expect in the future. In “Generative AI: Labor and the Future of Work,” you’ll explore how generative AI can support workers in all industries, as well as the labor that goes into developing and managing these systems. Explore what the “future of work” could mean for both employees and employers and how these systems can impact work quality, creativity, and the labor market. You’ll also look at how the global digital divide could impact tool adoption for different groups across the world. By analyzing the adoption and implementation of generative AI in the workplace, you will better understand how these tools could shift how we work together.
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Syllabus
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Activities
Review definitions of AI and machine learning
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Starting the course with a strong foundation in AI and machine learning will boost your understanding of generative AI concepts.
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Artificial Intelligence
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Read the key definitions of AI and machine learning.
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Summarize the differences between AI and machine learning.
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Provide examples of AI and machine learning applications.
Explore generative AI tools
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Experimenting with generative AI tools will give you hands-on experience and a deeper understanding of their capabilities and limitations.
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Generative AI Tools
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Sign up for free accounts on popular generative AI platforms.
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Explore the different features and functionalities of each platform.
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Generate your own content using the tools and analyze the results.
Read a book about the ethical implications of generative AI
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Understanding the ethical implications of generative AI is crucial for responsible development and use. This book will provide you with valuable insights.
View
The Ethical Algorithm: The Science of Socially...
on Amazon
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Read the book and take notes on the key ethical issues raised.
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Discuss the ethical implications with classmates or colleagues.
Four other activities
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Participate in a peer review of generative AI projects
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Peer review will provide you with valuable feedback and help you refine your understanding of generative AI project development.
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Peer Review
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Find a peer or group of peers to review your generative AI project.
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Exchange projects and provide constructive feedback on each other's work.
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Incorporate the feedback into your own project.
Develop a hypothetical generative AI product
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Creating a hypothetical generative AI product will challenge you to apply the concepts learned in the course and develop your own innovative ideas.
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Product Design
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Identify a problem or opportunity that generative AI could address.
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Research existing generative AI products and technologies.
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Develop a concept for your hypothetical product, including its features, target audience, and potential impact.
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Create a prototype or demo of your product (optional).
Volunteer for a non-profit organization that uses generative AI
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Volunteering will provide you with practical experience in using generative AI for social good and give back to the community.
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Volunteering
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Research non-profit organizations that use generative AI.
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Contact the organizations and inquire about volunteer opportunities.
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Participate in volunteer activities that involve using generative AI.
Analyze a case study on the impact of generative AI on a specific industry
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Analyzing a case study will give you insights into the real-world applications and potential implications of generative AI in various industries.
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Case Studies
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Select an industry that is being impacted by generative AI.
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Find a case study or research paper that analyzes the impact of generative AI on that industry.
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Read and summarize the case study, highlighting the key findings and insights.
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Discuss the implications of the case study for the future of work and the industry.
Review definitions of AI and machine learning
Show steps
Starting the course with a strong foundation in AI and machine learning will boost your understanding of generative AI concepts.
Browse courses on
Artificial Intelligence
Show steps
- Read the key definitions of AI and machine learning.
- Summarize the differences between AI and machine learning.
- Provide examples of AI and machine learning applications.
Explore generative AI tools
Show steps
Experimenting with generative AI tools will give you hands-on experience and a deeper understanding of their capabilities and limitations.
Browse courses on
Generative AI Tools
Show steps
- Sign up for free accounts on popular generative AI platforms.
- Explore the different features and functionalities of each platform.
- Generate your own content using the tools and analyze the results.
Read a book about the ethical implications of generative AI
Show steps
Understanding the ethical implications of generative AI is crucial for responsible development and use. This book will provide you with valuable insights.
View
The Ethical Algorithm: The Science of Socially...
on Amazon
Show steps
- Read the book and take notes on the key ethical issues raised.
- Discuss the ethical implications with classmates or colleagues.
Participate in a peer review of generative AI projects
Show steps
Peer review will provide you with valuable feedback and help you refine your understanding of generative AI project development.
Browse courses on
Peer Review
Show steps
- Find a peer or group of peers to review your generative AI project.
- Exchange projects and provide constructive feedback on each other's work.
- Incorporate the feedback into your own project.
Develop a hypothetical generative AI product
Show steps
Creating a hypothetical generative AI product will challenge you to apply the concepts learned in the course and develop your own innovative ideas.
Browse courses on
Product Design
Show steps
- Identify a problem or opportunity that generative AI could address.
- Research existing generative AI products and technologies.
- Develop a concept for your hypothetical product, including its features, target audience, and potential impact.
- Create a prototype or demo of your product (optional).
Volunteer for a non-profit organization that uses generative AI
Show steps
Volunteering will provide you with practical experience in using generative AI for social good and give back to the community.
Browse courses on
Volunteering
Show steps
- Research non-profit organizations that use generative AI.
- Contact the organizations and inquire about volunteer opportunities.
- Participate in volunteer activities that involve using generative AI.
Analyze a case study on the impact of generative AI on a specific industry
Show steps
Analyzing a case study will give you insights into the real-world applications and potential implications of generative AI in various industries.
Browse courses on
Case Studies
Show steps
- Select an industry that is being impacted by generative AI.
- Find a case study or research paper that analyzes the impact of generative AI on that industry.
- Read and summarize the case study, highlighting the key findings and insights.
- Discuss the implications of the case study for the future of work and the industry.
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