Library / Artificial Intelligence

AI Safety, AI Security, and Responsible AI at Work

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About this course

Artificial intelligence is quickly becoming part of everyday work. Professionals are using AI to write emails, summarize documents, analyze information, brainstorm ideas, support decisions, and automate tasks.

But AI also introduces new risks.

AI can produce confident wrong answers. It can expose sensitive data. It can reflect bias. It can create privacy concerns. It can be manipulated through prompts or files. It can make automation faster than your review process can handle. And when AI starts connecting to email, calendars, files, websites, apps, and business systems, the risks become even more important to understand.

This course gives you a practical, plain-English foundation in AI safety, AI security, privacy, responsible AI, and AI governance.

You do not need a technical background. You do not need to be a programmer, data scientist, cybersecurity expert, or AI researcher. This course is designed for everyday professionals, managers, business owners, educators, consultants, creators, and teams who want to use AI wisely without unnecessary risk.

You will learn how to think about AI risk in a practical way. You will understand the difference between AI safety, AI security, privacy, and governance. You will learn why AI risk is different from traditional software risk, and how to evaluate risk based on the task, the data, the tool, the output, and the consequence.

You will also learn safer prompting habits, including how to avoid sharing sensitive information, how to use placeholders, how to ask for frameworks instead of final decisions, and how to apply a simple Draft, Review, Verify, Approve workflow.

The course also covers common AI risks such as outdated information, biased outputs, overreliance on AI, privacy exposure, confidential business information, copyright concerns, phishing, deepfakes, prompt injection, insecure automation, and agentic AI risks.

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