AI Safety, AI Security, and Responsible AI at Work
Published 6/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 17m | Size: 1.85 GB
Practical AI safety, AI security, privacy and responsible AI habits for everyday work. A non-technical guide to safe AI
What you'll learn
Identify common AI risks, including wrong answers, bias, privacy exposure, data leakage, overreliance, and unsafe automation
Evaluate AI risk based on the task, data, tool, output, and possible consequences
Recognize unsafe prompt patterns involving sensitive data, confidential information, credentials, or high-stakes decisions
Apply the Draft, Review, Verify, Approve workflow before relying on AI outputs
Create safer prompts using placeholders, fictional examples, summaries, and minimum necessary context
Apply human-in-the-loop review for higher-risk AI tasks and create personal AI safety rules for everyday work
Build a simple AI safety checklist, team playbook, or basic AI safety and security plan
Use AI as a powerful assistant while keeping humans accountable for final decisions
Requirements
No technical or cybersecurity background is required. Just a desire to use AI safely and Securely at work.
Description
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 inAI 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 simpleDraft, 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.
You will learn how to use AI for writing, analysis, research, decision support, and automation in safer ways. You will also learn how to build simple checklists, personal AI rules, team playbooks, approval workflows, and an AI safety and security plan.
By the end of the course, you will have a practical foundation for using AI with more confidence, caution, and judgment.
This course is not about avoiding AI. It is about using AI wisely.
AI is a powerful assistant, but it should not be treated as an unquestioned authority.
Learn practical AI safety, AI security, privacy, governance, and responsible AI habits for everyday work. This course helps non-technical professionals reduce risk, protect sensitive data, verify AI outputs, use safer prompts, and keep humans accountable when using AI tools.
What You'll Learn
By the end of this course, you will be able to
- Explain AI safety, AI security, privacy, responsible AI, and AI governance in plain English.
- Identify common AI risks, including wrong answers, bias, data exposure, privacy issues, and automation mistakes.
- Understand why AI risk is different from traditional software risk.
- Evaluate AI risk based on task sensitivity, data sensitivity, tool access, output impact, and consequences.
- Use safer prompting habits that reduce unnecessary exposure of sensitive information.
- Apply theDraft, Review, Verify, Approve workflow before relying on AI outputs.
- Recognize unsafe prompt patterns involving private records, credentials, confidential information, or high-stakes decisions.
- Use placeholders, summaries, excerpts, and fictional examples to reduce data risk.
- Understand when AI output needs fact-checking, expert review, or human approval.
- Avoid overreliance on AI when decisions affect people, money, compliance, safety, or public trust.
- Understand common AI security threats such as prompt injection, phishing, deepfakes, data leakage, and risky integrations.
- Apply human-in-the-loop review for writing, analysis, decision support, and automation.
- Create simple personal AI safety rules or a team AI safety playbook.
- Build a basic AI safety and security plan for your work, team, or organization.
You do not need
- Programming experience.
- Cybersecurity experience.
- Legal or compliance expertise.
- Prior AI safety or AI governance training.
This course is designed for
- Non-technical professionals using AI at work.
- Managers and team leaders who want safer AI practices.
- Business owners and entrepreneurs using AI tools.
- Educators, trainers, consultants, and course creators.
- HR, L&D, sales, marketing, customer service, operations, finance, and administrative professionals.
- Anyone using AI to write, summarize, analyze, research, brainstorm, or automate tasks.
- Teams that need practical AI usage rules without heavy bureaucracy.
- Professionals who want to use AI confidently while protecting data, people, and business trust.
This course is especially helpful if you are asking questions like
- What information should I avoid putting into AI tools?
- When should I verify AI output?
- How do I know whether an AI use case is low risk or high risk?
- How can I use AI safely for writing, analysis, research, and decisions?
- What are the basic security risks of AI tools and AI agents?
- How can a small team create simple AI rules without overcomplicating things?
This course is probably not the right fit if you are looking for
- Advanced technical cybersecurity training.
- Deep AI engineering or machine learning theory.
- Programming tutorials.
- Legal advice, compliance certification, or formal regulatory training.
- A course focused only on one specific AI platform.
This course is practical, non-technical, and workplace-focused. If that sounds interesting just click the button to enroll and I look forward to seeing you in your first lesson.
Steve Ballinger
VIP Udemy Instructor Partner
Who this course is for
Professionals using AI tools such as ChatGPT, Microsoft Copilot, Claude, Gemini, or similar tools
Employees or teams beginning to use AI at work and needing simple safety rules
Professionals who want to understand AI risk without becoming cybersecurity, legal, or technical experts
Anyone concerned about AI mistakes, privacy risks, sensitive data exposure, overreliance, bias, or unsafe automation
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