Which term refers to the absence of accountability due to opaque decision-making in AI systems?

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Multiple Choice

Which term refers to the absence of accountability due to opaque decision-making in AI systems?

When AI decisions are opaque and difficult to trace to who is responsible, outcomes can’t be easily explained, justified, or audited. That lack of traceability creates an accountability gap—the absence of clear accountability for what the system does. This directly matches the idea of a lack of accountability: the core issue is that responsibility isn’t identifiable because the decision-making process is not transparent enough. The other terms describe different concerns. Back-propagation is a training method used to adjust neural network weights. Hidden bias refers to biases that may be present in data or models but doesn’t by itself name the overall accountability gap. Privacy threats concern risks to individuals’ data privacy, not the allocation of responsibility for AI decisions.

When AI decisions are opaque and difficult to trace to who is responsible, outcomes can’t be easily explained, justified, or audited. That lack of traceability creates an accountability gap—the absence of clear accountability for what the system does. This directly matches the idea of a lack of accountability: the core issue is that responsibility isn’t identifiable because the decision-making process is not transparent enough.

The other terms describe different concerns. Back-propagation is a training method used to adjust neural network weights. Hidden bias refers to biases that may be present in data or models but doesn’t by itself name the overall accountability gap. Privacy threats concern risks to individuals’ data privacy, not the allocation of responsibility for AI decisions.

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