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Discover the types of personal data shared with AI applications and ways to protect privacy when using them.
Explain the differences between rules-based and data-driven systems
Evaluate the ways you share data that could be used in a data-driven system
Build a set of expectations of fairness, transparency, and accountability in how an AI application uses your data
Data driven, rules based, personal data, media, large language models (LLMs), deep fakes, recommendation systems
AI systems and your data
Data detective
AI Business Boss
Discussion