Generative artificial intelligence (AI) systems can have a range of impacts on both business and society. In “Generative AI: Impact on Business and Society,” you’ll consider the social and technological aspects of these systems to evaluate how they may impact the way we adopt, trust, or work with these tools. This course builds on your knowledge of the benefits, challenges, and potential risks of AI as we begin integrating these tools into our organizations or communities. It includes considerations relevant to business operations, impact on consumers, as well as wider implications for citizens, public safety, and the environment. By the end of this course, you’ll be able to evaluate the global and local implications specific to generative AI systems for informed decision-making in your role.
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Syllabus
Introduction to the Course
Informed Choices: Mitigating Generative AI Risks in Business
Generative AI's Societal Impact: A Critical Overview
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Activities
Review foundational AI concepts
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Refresh your understanding of AI models, algorithms, and techniques before starting the course to enhance your comprehension of generative AI.
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Deep Learning
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Create a digital notebook for course content
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Organize and consolidate your course notes, assignments, and resources in a digital notebook for efficient review and future reference.
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Choose a digital note-taking app
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Create a dedicated notebook for the course
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Import or transcribe your notes and materials
Experiment with generative AI tools
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Explore various generative AI tools to solidify your understanding of their capabilities and limitations, and to gain hands-on experience with text generation, image synthesis, and other applications.
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Generative AI Tools
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Sign up for different generative AI platforms
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Experiment with different prompts and inputs
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Analyze the outputs and identify patterns
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Compare and contrast the tools based on their strengths and weaknesses
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Develop a case study on a generative AI application
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Apply your knowledge of generative AI systems to a specific real-world scenario, solidifying your understanding of their potential impacts and considerations.
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Generative AI Applications
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Choose a specific industry or application area
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Research and identify a relevant case study
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Analyze the impact of generative AI on the case study
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Develop recommendations for leveraging generative AI
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Present your findings in a written or presentation format
Build a generative AI model
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Challenge yourself to design and implement a generative AI model from scratch, giving you hands-on experience with the underlying algorithms and techniques.
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Generative AI Models
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Choose a specific generative AI task
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Gather and preprocess your dataset
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Select and configure an appropriate model
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Train and evaluate your model
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Deploy your model and evaluate its performance
Review foundational AI concepts
Show steps
Refresh your understanding of AI models, algorithms, and techniques before starting the course to enhance your comprehension of generative AI.
Browse courses on
Deep Learning
Show steps
Create a digital notebook for course content
Show steps
Organize and consolidate your course notes, assignments, and resources in a digital notebook for efficient review and future reference.
Show steps
- Choose a digital note-taking app
- Create a dedicated notebook for the course
- Import or transcribe your notes and materials
Experiment with generative AI tools
Show steps
Explore various generative AI tools to solidify your understanding of their capabilities and limitations, and to gain hands-on experience with text generation, image synthesis, and other applications.
Browse courses on
Generative AI Tools
Show steps
- Sign up for different generative AI platforms
- Experiment with different prompts and inputs
- Analyze the outputs and identify patterns
- Compare and contrast the tools based on their strengths and weaknesses
Develop a case study on a generative AI application
Show steps
Apply your knowledge of generative AI systems to a specific real-world scenario, solidifying your understanding of their potential impacts and considerations.
Browse courses on
Generative AI Applications
Show steps
- Choose a specific industry or application area
- Research and identify a relevant case study
- Analyze the impact of generative AI on the case study
- Develop recommendations for leveraging generative AI
- Present your findings in a written or presentation format
Build a generative AI model
Show steps
Challenge yourself to design and implement a generative AI model from scratch, giving you hands-on experience with the underlying algorithms and techniques.
Browse courses on
Generative AI Models
Show steps
- Choose a specific generative AI task
- Gather and preprocess your dataset
- Select and configure an appropriate model
- Train and evaluate your model
- Deploy your model and evaluate its performance
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