AI Ethics & Responsible AI: Privacy, Bias, Safety, Compliance
Disclosure: This course contains the use of artificial intelligence.
What you’ll learn
- Explain how generative AI works in plain English and where it’s used in real life..
- Apply core Responsible AI principles: fairness, transparency, accountability, privacy, safety, and human oversight..
- Identify and reduce common risks: bias, data leakage, hallucinations, misinformation, and copyright/IP issues..
- Use a step-by-step Ethical AI Decision Model to choose safeguards and make confident decisions when policies are unclear..
- Verify AI outputs to reduce hallucinations, misinformation, and false confidence.
- Handle copyright/IP gray areas and use disclosure practices that build trust.
- Use global ethics frameworks + laws (GDPR, EU AI Act basics, US approach) to guide decisions.
- Make ethical AI decisions using a repeatable checklist and escalation process.
Course Content
- Foundations: AI Ethics for Everyone –> 9 lectures • 48min.
- Core Ethical Principles –> 13 lectures • 1hr 15min.
- Data, Privacy & Consent –> 7 lectures • 36min.
- Transparency, Explainability & Trust –> 6 lectures • 50min.
- Generative AI Risks and Misuse –> 7 lectures • 47min.
- Responsible AI Use at Work –> 8 lectures • 58min.
- AI Governance, Regulation & Compliance –> 10 lectures • 1hr.
- Social, Environmental & Human Impact –> 6 lectures • 38min.
- The Ethical AI Decision Model (A Practical Framework) –> 7 lectures • 33min.
- Case Studies & Role Play –> 3 lectures • 18min.
- The Future of Ethical AI –> 5 lectures • 29min.
- Course Wrap-Up & Certificate of Completion –> 3 lectures • 4min.
Requirements
Disclosure: This course contains the use of artificial intelligence.
AI is moving faster than policies, laws, and even common sense. People are using ChatGPT, Copilot, Gemini, and other tools every day at work, in business, and in school, often without realizing the ethical risks: bias, privacy leaks, misinformation, copyright issues, and “automation” that quietly harms real people.
Responsible AI: AI Ethics, Governance & Compliance is a practical, non-technical course designed to help you use AI with confidence, without needing a technical background. You’ll learn how to make smart decisions when the rules are unclear, how to protect yourself and your organization, and how to build trust with customers, teammates, and stakeholders.
This course focuses on real-world situations and clear frameworks and not just theory. You’ll get checklists, examples, and scenario-based practice so you can apply responsible AI habits immediately.
In this course, you’ll learn:
- What AI and generative AI really do without jargon
- The core ethical principles behind responsible AI
- How bias, privacy risks, and misinformation actually happen
- What you should never put into AI tools
- How to use AI responsibly at work and as a leader
- How global AI laws and ethics frameworks fit together
- How to make ethical AI decisions confidently, even when rules are unclear
You’ll also work through practical case studies like AI in hiring, AI content creation, and high-risk AI in healthcare and finance, so you can spot red flags, choose safer alternatives, and know when to escalate concerns.
Who this course is for:
- Employees using AI tools at work who want to avoid mistakes and build trust
- Managers and leaders setting AI boundaries and reducing organizational risk
- Creators and entrepreneurs using AI for content, marketing, and products
- Students and everyday AI users who want responsible, future-ready skills
What makes this course different:
- Built for non-technical learners (plain English, no math, no coding)
- Practical frameworks and downloadable resources you can reuse
- Real scenarios that reflect what people are actually doing with AI today
- A step-by-step Ethical AI Decision Model you can apply anywhere
By the end, you won’t just “know” AI ethics and governance, you’ll have a repeatable way to use AI safely, fairly, and legally in real life.
I’m Syed, and I’ll see you inside the course.