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16 students
AI Ethics and Governance
The non-technical professional guide to spotting AI risks and governing it responsibly.
Created bySkillmint .
Last updated 7/2026
English
What you'll learn
- Explain in plain language what AI is, how it makes decisions, and where it can go wrong — no coding or math required.
- Recognize the major ethical risks of AI — bias, opacity, privacy harms, and misuse — and spot them in real-world systems.
- Apply the five pillars of responsible AI — fairness, transparency, accountability, privacy, and safety — to everyday decisions.
- Navigate the key AI regulations and frameworks, including the EU AI Act, NIST AI RMF, and ISO/IEC 42001.
- Run practical governance tasks: risk and impact assessments, bias audits, AI disclosures, and acceptable-use policies.
- Evaluate the unique risks of generative AI — hallucinations, deepfakes, and copyright — and set sensible guardrails.
- Classify AI systems by risk and make a clear go / modify / no-go recommendation before deploying them.
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Course content
8 sections • 38 lectures • 1h 15m total length
Requirements
- None — no coding, math, or prior AI experience required; just curiosity and a willingness to think critically.
Description
Disclaimer: This course contains the use of artificial intelligence.
Artificial intelligence now decides who gets hired, who's approved for a loan, who gets flagged by a system, and what millions of people read each day — yet the professionals responsible for those systems are rarely the ones who built them. This course prepares you to use, buy, deploy, and oversee AI responsibly, whatever your role and whatever your technical background.
Written in plain language with no coding or advanced math, AI Ethics & Governance takes you from "what is AI, really?" to confidently leading a responsible-AI conversation in your own organization. Across eight modules and 31 short video lessons, you'll learn to recognize the major ethical risks of AI — bias, opacity, privacy harms, and misuse — and spot them in real systems. You'll apply the five pillars of responsible AI (fairness, transparency, accountability, privacy, and safety), navigate the frameworks and regulations that increasingly govern AI at work — including the EU AI Act, the NIST AI Risk Management Framework, and ISO/IEC 42001 — and grasp the distinct risks of generative AI, from hallucinations and deepfakes to copyright.
Every concept is grounded in well-documented, real-world cases and reinforced with hands-on, no-code labs, module quizzes, and a capstone project in which you produce a responsible-AI proposal for a real system. In roughly 8–10 hours, you'll gain the vocabulary, judgment, and practical tools to help your team adopt AI in a way that is not just powerful, but trustworthy.
Who this course is for:
- Product managers, analysts, and team leads who use, buy, deploy, or oversee AI and want to do it responsibly.
- HR, marketing, operations, and other business professionals affected by AI-driven decisions in their day-to-day work.
- Compliance, legal, risk, and governance staff who need a working grasp of AI regulation (EU AI Act, NIST AI RMF, ISO/IEC 42001).
- Managers, founders, and decision-makers asked to evaluate or govern AI systems — with no technical background needed.