L4-M1 / lesson 1 of 2

Connect hazards to data and design choices

A provider develops a recruitment-ranking tool.

10–15 min · 0/4 steps complete

Start here / A workplace decision

Connect a hazard to a design control

A provider develops a recruitment-ranking tool.

Historic hiring outcomes are treated as objective labels.

Before you read / Think it through

In “Connect a hazard to a design control”, what would you check or do first?

Pause and form your answer, then compare the reasoning. This reflection is not scored.

Compare the reasoning

Examine how past decisions could encode bias and affect the new use.

The ideas below give you a method for this decision. Then work through the rest of this case and try the decisions yourself.

Part 1 of 4 Learn the ideas

Choose a topic0 of 5 read

Risk management across the lifecycle

Article 9 requires an ongoing iterative process for relevant high-risk systems.

Assess health, safety and fundamental-rights risks.

In the workplace

A launch-only checklist misses changing data and behaviour. Link the risk register to design, release and monitoring.

Remember this

Update the analysis from testing and post-market evidence.

The workplace case

YOUR CASE / RISK MANAGEMENT AND DATA GOVERNANCE

A provider is developing a high-risk recruitment-ranking system. Its dataset reflects past hiring decisions, has few examples from one applicant group and contains duplicate CVs across training and testing. Aggregate accuracy looks strong, but a pilot shows unequal false-rejection rates.

Quick reference / five key ideas

Risk management across the lifecycle: Update the analysis from testing and post-market evidence.
Purpose and foreseeable misuse: Include vulnerable groups where relevant.
Hazards and harm pathways: Record uncertainty rather than hiding it in a score.
Mitigation hierarchy: Provide information and training for residual limitations.
Data provenance and rights: Track transformations and dataset versions.