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IBM vía Coursera
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Generative AI: Impact, Considerations, and Ethical Issues

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  • Limitations and Ethical Issues 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.
  • Social and Economic Impact and Responsible Generative AI
    • 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.
  • Course Quiz, Project, and Wrap-Up
    • 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.