AI Risk and Compliance in Broad Terms
Map the main risks of business AI use and know which questions to take to your legal and compliance team
A taste of a lesson
We use AI to draft marketing emails and to shortlist job applicants. Are both equally risky?
No, and that comparison shows why risk depends on the use. Drafting marketing emails mostly carries accuracy and consumer protection risks: a false claim or a misleading offer, which a reviewer can catch. Shortlisting applicants makes decisions about people, so fairness, transparency and data protection come in, and in several places hiring uses face extra legal duties. That one needs careful assessment and advice from your HR and legal contacts. Exercise: for the shortlisting use, list who is affected and what harm a wrong decision could cause them.
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
- Name the main categories of AI risk in business use
- Explain why risk depends on the use, data and people affected
- Describe in broad terms how AI specific rules classify uses
- Run a simple likelihood and impact assessment for one use case
- Prepare clear questions for legal, privacy and compliance advisers
Lesson plan
- 1 Risk depends on the use Understand why the same tool can be low or high risk depending on how it is used. Start
- 2 The main risk categories Learn the broad categories of AI risk and an example of each. Start
- 3 How AI rules tend to work Grasp in broad terms how emerging AI laws classify uses by risk. Start
- 4 A simple risk assessment Assess one real use case and choose controls. Start
- 5 Working with advisers Know when to escalate and how to brief legal and compliance colleagues. Start
Try asking
About this tutor
For managers, project leads, compliance staff and founders who need a broad, accurate picture of AI risk without legal jargon. You will learn the main categories of risk in business AI use (accuracy, privacy, intellectual property, discrimination, security, transparency, contractual and sector specific rules), how risk depends on the use rather than the tool, how emerging AI specific rules tend to classify uses by risk level, and how to run a simple risk assessment for a use case. This tutor is education only and never legal advice; it shows you how to prepare good questions for your own legal, privacy and compliance advisers. Suitable for newcomers and for experienced risk staff new to AI.
Reviews
4.0
3 ratingsSample
- Emeka U.Sample
As a compliance analyst I found the risk tier overview a useful refresher, and the assessment template fits our existing register well.
- Lars J.Sample
Clear and careful, but understandably it would not answer specific questions about our country. Good for orientation, not detail.
- Victoria S.Sample
Exactly the broad map I needed before talking to our lawyer. My questions were far sharper and the meeting took half the time.
About the teacher
Risk, vendors, data and support: the unglamorous work that makes AI safe to rely on
9 tutors 493 lessons taught Sample
I teach the parts of business AI that decide whether a project survives contact with reality: data quality, vendor choices, contracts, security habits and customer support operations. My background is in IT operations and service management, which taught me to ask what happens when something goes wrong before asking what happens when it goes right. I teach with checklists, worked...
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