An AI risk analyst is preparing a risk register for a content recommendation system. The analyst identifies that the algorithm may create filter bubbles by repeatedly showing users content similar to what they have previously engaged with. How should this risk be categorized?
Select an answer to reveal the explanation.
Short Explanation
You're dealing with a societal/systemic risk here. Filter bubbles happen when the algorithm keeps feeding users similar content, limiting information diversity and amplifying polarization at scale. That's not just a security, downtime, or revenue issue.
Full Explanation
The correct answer is the societal/systemic risk about polarization and limited information diversity. Filter bubbles are systemic because algorithmic amplification of existing preferences narrows exposure to diverse viewpoints and can cause societal harm at scale. The cybersecurity option about unauthorized access to user data is a data security concern. The operational option about recommendation API downtime is an infrastructure risk. The financial option about reduced advertising revenue is a business outcome, not an AI risk category.