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AI Ethics and Responsible Use of AI A Practical Guide
Published 9/2026
Created by Jozef Baros
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 43 Lectures ( 4h 7m ) | Size: 4.7 GB
Use AI at work and school without leaking data, spreading errors or breaking rules. Checklists, policies, real cases.
What you'll learn
Decide in three seconds whether something is safe to paste into an AI tool Verify AI output proportionately, so the habit survives past the first busy week Spot fabricated sources and fake citations before anyone else does Handle deepfakes and cloned voices with the one defence that actually works Run a bias audit on any AI-assisted decision in about twenty minutes Disclose AI use in one sentence, without apologising or shifting blame Write a one-page AI policy for yourself or your teamRequirements
No technical background needed - if you can type a question into a chatbot, you are ready No legal background needed; principles are explained in plain language Some experience using any AI assistant is helpful but not requiredDescription
wâ†ch frêê lessons before enrolling, so you know what you get
You use AI every day. Nobody ever told you the rules.
Your employer probably has a policy you have not read. The tool has terms nobody reads. So most people improvise - they paste whatever is on screen and trust whatever comes back. Most of the time nothing happens. This course is about the times it does, and about how to keep using these tools heavily without getting burned.
Three ordinary situations, all of them real. Someone pastes a client list into a chatbot to sort it, and the data leaves the company. Someone sends a report with six sources that look perfect, three of which do not exist. Someone lets a tool rank two hundred applicants and months later cannot explain the pattern. Nobody was reckless. Nobody broke a rule they knew about. That is the shape of almost every AI incident.
What makes this course different
Most AI ethics courses are lectures about principles. This one gives you decisions. Every lesson ends with something you can apply on Monday: a rule, a checklist, a sentence to copy, or a question to ask yourself. You will not be told that AI is dangerous and you should use it less - the goal is using it well.
You need no technical background and no legal background. If you can type a question into a chatbot, you are ready.
What you will build
A privacy checklist you can run in about three seconds, before you paste anything A verification habit that is proportionate - so you actually keep it past Thursday Ready-made sentences for disclosing AI use without sounding apologetic A one-page personal code of conduct, decided calmly in advance Six downloadable templates, including a bias audit you can run in twenty minutes and a complete one-page AI policy for your teamWhat the course covers
Foundations - how these systems actually work, and the four failure modes that cover almost everything that goes wrongTruth and accuracy - where errors cluster, how to verify without checking everything, invented sources, deepfakes and the one defence that worksBias and fairness - where it enters, why deleting the sensitive field does not fix it, and an audit anyone can runPrivacy and your data - what happens to what you type, what never goes in, and shadow AI at workOwnership and integrity - who owns AI output, the training data dispute stated fairly from both sides, academic integrity, and disclosureAgents and automation - what changes when AI acts, oversight that is not theatre, automation bias, and decisions that stay with a personAI and people - jobs and skills honestly, emotional reliance, children and teenagers, and the environmental cost without the invented numbersYour rights and obligations - what to ask when AI decides about you, what your employer can require, and how to read or write a usable policyPutting it together - ten real dilemmas decided on screen, and your own code of conductA note on how this was written
Two things I did deliberately. I do not name specific AI products, because they get renamed and replaced while the judgment stays the same. And I do not quote precise statistics for contested claims - no percentage of jobs at risk, no litres of water per question. Those figures are unreliable in both directions, and a course that teaches you to check sources should not be inventing them.
On law: I am not a lawyer. Several sections touch on copyright, data protection, and your rights. I explain principles that hold widely rather than provisions that differ by country and change every year.
Who this is not for
If you want a legal compliance course, an implementation guide for a specific regulation, or a technical course on how to build AI systems, this is not it. This is for the person using the tools.
Nine sections, 33 lessons, roughly four hours, plus articles, practice tests, and six downloads. Everything is designed so that twenty five minutes of follow-up puts you ahead of almost everyone you work with.
***Contains the use of AI.
Who this course is for
Employees who use AI at work and are unsure where the lines are Students and teachers navigating academic integrity rules around AI Managers and team leads who need to set rules for other people Freelancers and consultants whose name is on AI-assisted deliverables Parents wanting to understand how AI affects their children Anyone who has ever hesitated before pasting something into a chatbotHomepage
Code:
https://www.udemy.com/course/ai-ethics-and-responsible-use-of-ai-a-practical-guideDOWNLOAD LINKS
