Match the AI Ethics with its correct description. AI Ethics Description I Data…

Concept

This question pairs three privacy ideas with their descriptions. In the abstract: data privacy is the overall practice of balancing how much data is collected against the usefulness or performance you obtain from it. K-anonymity is a group-based guarantee — records are grouped so that each group holds at least k records, making any single record indistinguishable from at least k-1 others; it is therefore characterised by how many users share the same attribute pattern. L-diversity is built on top of k-anonymity, adding the requirement that the sensitive attributes within each such group be diverse.

Applying it to each pair

• Data privacy is the description about a trade-off between the amount of data collected and product or service performance. This collect-less-versus-perform-better tension defines data privacy as a whole, not any single anonymisation model.

• K-anonymity is the description about a metric counting how many users in a database share a particular attribute. The parameter k is precisely that group size: each record sits in a group of at least k records sharing the same pattern.

• L-diversity is the description that extends the idea over sensitive attributes. It is layered on k-anonymity so that a group does not leak a sensitive value when all of its members happen to share it.

Resulting matches

Cross-check and a note on wording

Each idea maps to exactly one description with none left over, giving I-2, II-1, III-3. Note that description 3 phrases l-diversity loosely as 'merging several sensitive attributes together'; strictly it requires diversity of sensitive values within a group, but among the three descriptions it is still the only one that captures l-diversity as an extension over sensitive attributes.