What Does MVP Stand For? It’s Not What You Think.
October 7, 2024
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This course is part of Generative AI Fundamentals Specialization
Instructor: Rav Ahuja
12,843 already enrolled
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(156 reviews)
Recommended experience
Beginner level
This course is suitable for everyone, regardless of their prior technical background.
(156 reviews)
Recommended experience
Beginner level
This course is suitable for everyone, regardless of their prior technical background.
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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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.
11 videos4 readings2 assignments1 discussion prompt2 plugins
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.
11 videos3 readings3 assignments1 discussion prompt2 plugins
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.
3 readings1 assignment2 plugins
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
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Reviewed on Feb 18, 2024
Lots of useful ideas! I have learned about limitations and ethical issues so I can use GenAI more effectively.
Reviewed on Apr 11, 2024
So important to give this area a strong focus - and the course did that
Reviewed on Jan 17, 2024
It addresses the main concerns about GenAI at the moment, great way to have a full picture.
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