Скачать или смотреть What Are The Ethical Risks Of Large Language Models (LLMs)? - AI and Machine Learning Explained

What Are The Ethical Risks Of Large Language Models (LLMs)? Have you ever wondered about the ethical challenges associated with large language models (LLMs)? In this informative video, we'll explore the potential risks and concerns that come with the powerful capabilities of these AI systems. We'll start by explaining what LLMs are and how they learn from vast amounts of internet data. Then, we'll discuss key issues such as bias, privacy, misinformation, transparency, and accountability. You'll learn how biases in training data can lead to unfair or prejudiced outputs, and how privacy concerns arise when models inadvertently reveal sensitive information. We'll also cover the dangers of incorrect information being generated, which can impact health, legal, and safety decisions. Additionally, we'll examine the difficulties in understanding how these models produce their answers, making it hard to verify correctness or fairness, and the legal questions surrounding content ownership and copyright. Finally, we'll share practical steps to mitigate these risks, including regular checks, clear guidelines, and human oversight. Whether you're interested in AI ethics or responsible technology use, this video provides essential insights into the ethical considerations of LLMs. Stay informed and learn how to use these tools responsibly.

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