Generative AI Foundations: Ethics, Issues, and Limitations of Generative AI
Understand generative AI ethics, issues & limitations. Explore AI models, data bias, deepfakes, IP rights & impact on work/creativity.
Course Content
Generative AI Foundations: Ethics, Issues, and Limitations of Generative AI is a beginner-level Pluralsight course taught by Hampton Paulk. It runs 28m, is taught in English, and includes a certificate of completion. Learners rate it 4.8 out of 5 from 116 reviews. It is a paid course, first published May 2024.
Explore the ethics of generative AI and its rapidly evolving landscape. This course delves into the crucial challenges and responsibilities associated with the development and deployment of generative artificial intelligence (GenAI).
Understand the inner workings of generative AI models and analyze real-world case studies revealing the ethical dilemmas and unintended consequences of this powerful technology. We'll examine key concerns including:
- Data bias and its impact on AI outputs.
- Intellectual property rights in the age of AI-generated content.
- The rise of deepfakes and their potential for misuse.
- The potential impact of AI on employment and the future of creativity.
Gain a comprehensive understanding of the ethical considerations surrounding generative AI. You'll be better prepared to navigate the complex challenges and leverage the opportunities presented by this transformative technology. Learn how to responsibly use and critically evaluate AI-generated content.
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