Course Prerequisite(s)
- Please note that this course has the following prerequisites which must be completed before it can be accessed
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Foundations of Artificial Intelligence: Machine Learning
About Course
Free AI Ethics Course for Beginners: Responsible AI, Risks, Regulation and the EU AI Act
Artificial intelligence is becoming part of everyday life, business, education, healthcare, finance, security and public decision-making. That makes one question impossible to ignore:
How do we use AI responsibly?
Foundations of Artificial Intelligence: Ethics, Risks & Regulation is a free beginner-friendly AI ethics course from NORAI Academy. It introduces the human, social and regulatory challenges behind modern AI, including AI hallucinations, misinformation, algorithmic bias, privacy, surveillance, explainability, transparency, accountability, responsible AI and global AI regulation.
This course is designed as the fourth step in the Foundations of Artificial Intelligence learning path. After learning where AI came from, how rule-based systems worked, and how machine learning changed the field, you’ll now explore the risks and responsibilities that come with using AI in the real world.
You do not need legal, technical or coding experience to begin.
You’ll learn why AI systems can produce confident but false answers, how misinformation spreads, where bias can enter AI systems, why privacy and data protection matter, and how AI-powered surveillance creates difficult trade-offs between safety, control and individual rights.
The course also introduces the growing importance of AI governance and regulation. You’ll explore why transparency, explainability and human oversight are essential for trustworthy AI, and how frameworks such as the EU AI Act and GDPR influence the way AI systems are developed, deployed and managed.
This is not a legal compliance course.
It is a clear, practical introduction for beginners who want to understand the ethical questions, risks and responsibilities surrounding artificial intelligence before applying AI in work, business, education or public life.
Who is this for?
This course is for anyone who wants to understand AI beyond the hype and learn why responsible AI matters.
It is suitable for:
– beginners who want to understand AI ethics without legal jargon
– students exploring artificial intelligence, society and regulation
– professionals who use AI tools and want to understand the risks
– entrepreneurs and small business owners considering AI adoption
– creators, marketers and consultants working with AI-generated content
– educators and trainers teaching AI literacy
– anyone curious about AI hallucinations, bias, privacy, surveillance, transparency and regulation
By the end of the course, you will understand the difference between AI hallucinations, misinformation and intentional deception; how bias and unfairness can appear in AI systems; why privacy, consent and data protection matter; what explainability and transparency mean; and why responsible AI requires human judgment, accountability and clear rules.
Complete the course and quizzes to earn your free NORAI Academy certificate.
Based on Victor A. Lausas’ acclaimed book, “Artificial Intelligence Made Unlocked” (ISBN 978-952-88-0520-5), this course distils the essentials for anyone ready to understand and apply AI in the real world. If you prefer to read the book instead, you can also get the book for free for a limited time:
Subscribe to the newsletter and download your free copy of Artificial Intelligence Made Unlocked: From Logic to Learning for FREE!
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The book is also on shelves at Lulu for 19.99€.
FAQ
What is AI ethics?
AI ethics is the study of how artificial intelligence should be designed, used and governed so that it supports people fairly, safely and responsibly. It includes topics such as bias, privacy, transparency, accountability, human oversight and the social impact of AI.
Is this AI ethics course free?
Yes. Foundations of Artificial Intelligence: Ethics, Risks & Regulation is currently available as a free course through NORAI Academy.
Is this course suitable for beginners?
Yes. This course is beginner-friendly and designed for learners who want to understand AI ethics, risks and regulation without needing legal, technical or coding experience.
Do I need legal knowledge to take this course?
No. This is not a legal compliance course. It explains AI ethics, responsible AI, AI risks and regulation in clear, accessible language for beginners.
What is responsible AI?
Responsible AI means developing and using artificial intelligence in ways that are fair, transparent, accountable, privacy-aware and aligned with human values. It also means keeping human judgment involved where decisions can affect people’s lives, rights or opportunities.
What are AI hallucinations?
AI hallucinations are false or misleading outputs produced by an AI system that may sound confident, fluent or convincing. They can happen when a model generates an answer without reliable grounding in accurate information.
What is algorithmic bias?
Algorithmic bias happens when an AI system produces unfair or distorted results because of biased data, flawed design choices, incomplete testing or assumptions built into the system. Bias can affect areas such as hiring, finance, healthcare, education, policing and access to services.
Why does AI privacy matter?
AI privacy matters because many AI systems rely on large amounts of data. If personal, sensitive or confidential information is collected, stored or processed carelessly, it can create risks around surveillance, misuse, profiling, data leaks and loss of individual control.
What is AI explainability?
AI explainability means making AI decisions easier to understand. It helps people see why a system produced a certain output, recommendation or decision, which is especially important in high-impact areas such as healthcare, finance, employment, education and public services.
What is the EU AI Act?
The EU AI Act is a European regulatory framework for artificial intelligence. It aims to manage AI risks by setting rules for different types of AI systems, especially those that may affect safety, rights, transparency, accountability and human oversight.
Does this course cover GDPR and AI?
Yes. The course introduces privacy, data protection and regulatory issues that are relevant to AI, including how frameworks such as GDPR and the EU AI Act influence responsible AI development and deployment.
Who is this course for?
This course is for beginners, students, professionals, entrepreneurs, educators, creators, consultants, small business owners and lifelong learners who want to understand the risks, responsibilities and social impact of artificial intelligence.
Can I earn a certificate?
Yes. Complete the course and quizzes to earn your free NORAI Academy certificate.
Is this course based on a book?
Yes. The course is based on Victor A. Lausas’ book Artificial Intelligence Made Unlocked: From Logic to Learning, which covers AI hallucinations, misinformation, bias, privacy, surveillance, regulation, explainability, responsible AI and the future of artificial intelligence.
Course Content
AI Hallucinations, Misinformation & Trust
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Understanding AI Hallucinations and Trust
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The Implications of AI-Generated Misinformation
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Detection and Mitigation of AI Hallucinations
Algorithmic Bias and Fairness in AI
Privacy, Surveillance & Data Protection
AI Regulation – The EU AI Act & Global Rules
Explainability, Transparency & Social Implications
Final Assessment
Earn a FREE certificate on completion!
Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.


