#163 - Practical applications of AI in cybersecurity with Rich Heimann, AI researcher & author
The Cybersecurity Defenders Podcast
Navigating AI: Prompting, Memorization, and Legal Implications
This chapter explores the conception of AI models as compressed data representations rather than human-like entities, focusing on the significance of prompt engineering and fine-tuning for optimal AI usage. It delves into the complexities of data memorization in generative models, its implications for copyright and cybersecurity, and the need for collaboration between data science and legal teams. The discussion underscores the legal and ethical considerations tied to deploying AI technologies, particularly in relation to training data and information integrity.
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