Safe AI Practices: Detect Deepfakes, Fact-Check, and Protect Your Data

Generative AI and neural networks are transforming how we study, work, and communicate, but they also bring new risks like misinformation, privacy leaks, and sophisticated deepfakes. Understanding how to navigate these tools securely is no longer optional—it is an essential digital literacy skill. This course empowers you to confidently use modern AI tools while maintaining complete control over your personal data. You will transition from a passive user to a critical thinker who can spot AI-generated deception, verify automated outputs, and implement robust privacy practices in your daily digital routines. What you'll learn: - Understand the fundamental mechanics of neural networks and how generative AI models handle your input data. - Identify deepfakes, synthetic media, and AI-generated text using proven verification techniques. - Apply critical fact-checking strategies to detect AI hallucinations and verify the accuracy of generated information. - Configure privacy settings in popular AI applications to prevent your personal data from being used for model training. - Recognize modern security threats such as prompt injection and social engineering tactics powered by AI. - Practice secure prompt engineering to safely integrate AI assistants into your academic and professional workflows. You will begin by learning key terminology and the basic concepts of how neural networks process information. From there, you will read through practical scenarios and complete written exercises designed to build your critical thinking and data protection habits. This course is designed specifically for beginners, students, and everyday technology users. No prior technical background, programming knowledge, or experience with artificial intelligence is required. Start reading today to build a safer, smarter relationship with artificial intelligence.