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AI Ethics and Governance: The Complete Professional Course
Highest Rated
77 students
AI Ethics and Governance: The Complete Professional Course
Learn responsible AI, risk management, bias mitigation, governance frameworks, and real-world ethical decision making
Created byAlexander Oni
Last updated 2/2026
English
What you'll learn
- Identify the key ethical challenges posed by AI systems in everyday life and professional contexts
- Apply four major ethical frameworks — consequentialism, deontology, virtue ethics and care ethics to real AI dilemmas
- Recognise how bias enters AI systems through data, algorithms and user interaction and explain its real-world consequences
- Evaluate the tradeoffs between competing definitions of fairness in AI and explain why perfect fairness is mathematically impossible
- Describe the transparency and explainability problem in modern AI and assess current technical and regulatory approaches
- Analyse real-world case studies in criminal justice, healthcare, and social media to identify ethical failures and lessons learned
- Explain the governance landscape for AI including major regulatory frameworks such as the EU AI Act
- Develop a personal ethical decision-making framework applicable to your own professional work with or around AI systems
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Course content
11 sections • 53 lectures • 4h 32m total length
Requirements
- Very Basic AI Knowledge
Description
Artificial intelligence is making decisions that affect your life right now such as who gets a loan, who gets flagged by police, who gets called for a job interview. Most people have no idea how these systems work, who built them, or whether they can be trusted.
This course changes that.
In plain, accessible language, I will walk you through the most important ethical challenges surrounding AI today. You don't need a technical background and you don't need to know how to code. You just need to want to understand the technology that is increasingly shaping the world around you.
What you'll learn:
The historical context behind AI ethics and why it matters now more than ever
The four major ethical frameworks used to analyse AI systems
How bias enters AI systems and the real people it harms
Why AI transparency is so difficult and what we can do about it
How AI is transforming labor, healthcare, criminal justice, and democracy
What good AI governance looks like and who should be responsible
How to apply ethical thinking in your own professional context
Who is this course for?
This course is designed for two groups: people who build AI systems and want to think more carefully about what they're building, and people who don't work in tech but want to understand and engage with the AI systems shaping their lives.
If you've ever wondered why facial recognition gets black people arrested for crimes they didn't commit, why your social media feed makes you angry, or why AI hiring tools discriminate against women then this course is for you.
What makes this course different?
I don't offer easy answers. AI ethics involves genuine tensions between competing values such as fairness vs. accuracy, privacy vs. security, innovation vs. precaution. We'll work through those tensions honestly, using documented real-world cases like the Robert Williams facial recognition wrongful arrest and Amazon's discriminatory hiring algorithm.
By the end of this course, you won't just know the issues. You'll have the frameworks to think through them yourself.
Who this course is for:
- Tech and AI practitioners who want to build more ethical systems and understand the societal impact of their work
- Business, legal, and policy professionals who need to engage with AI governance decisions
- General public curious about how AI affects their daily lives, rights, and freedoms
- Students in computer science, law, social science, or public policy looking for a practical ethics foundation