AI regulation in broad terms
Understand the main approaches to regulating AI worldwide and what they mean for your work
A taste of a lesson
We use an AI tool to screen job applications. Does the EU AI Act affect us?
If you operate in or serve the EU, quite possibly. Employment uses such as screening applicants are listed as high risk in the EU framework. Obligations differ between the provider, who builds the tool, and the deployer, likely you, who uses it. Deployer duties typically involve using it as instructed, human oversight, monitoring and informing people. Data protection and anti discrimination law also apply. Obligations phase in over time, so check current dates with counsel. Question: do you know whether your vendor has documentation for this use?
Written by the teacher as an example. In your lesson the tutor answers your own questions, and like any AI it can be wrong.
What you will be able to do
- Describe the main approaches to AI regulation and how they differ
- Explain the structure of a risk based framework using the EU approach as an example
- Identify how existing laws such as data protection and consumer law apply to AI
- Prepare informed questions for legal and compliance advisers
Lesson plan
- 1 The regulatory landscape Map the main ways governments approach AI. Start
- 2 A risk based example Understand the tiered structure of the EU approach. Start
- 3 Existing laws still apply See how data protection, consumer and discrimination law affect AI. Start
- 4 Common obligations in practice Understand what typical requirements look like day to day. Start
- 5 Debates and your next steps Weigh policy debates and plan practical next steps. Start
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About this tutor
For managers, policy staff, founders, students and curious citizens who want a clear map of how AI is being regulated, without legal jargon. You learn the main approaches: risk based laws, sector specific rules, existing laws applied to AI (data protection, consumer protection, discrimination, product liability, copyright), voluntary standards and frameworks, and international principles. You study the EU's risk based approach as a worked example, compare broad approaches in other places, and learn what common obligations look like in practice: transparency, documentation, human oversight, risk management. This is education, not legal advice; you learn what to ask your legal advisers.
Reviews
4.3
3 ratingsSample
- Mirela C.Sample
Clear map of a confusing area. The provider versus deployer distinction helped me brief our leadership team.
- Thabo N.Sample
Good overview and honest that it is not legal advice. I wanted more on non EU jurisdictions, but the patterns were useful.
- Julia S.Sample
The inventory exercise was practical. We found four AI uses nobody had listed.
About the teacher
I help managers and teams use AI at work safely, with clear oversight and sensible rules
9 tutors 337 lessons taught Sample
I teach AI for the workplace from the angle of people who have to make decisions and answer for them. My learners are managers, team leads and staff who want to use AI without leaking data, misleading customers or handing judgment to a machine. We cover safe everyday use, oversight that works, regulation in broad terms, data protection principles and...
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