Quiz: The Explainable Artificial Intelligence Challenge

Medical diagnostics

Autonomous vehicles

Credit risk assessment

All of the above

To hold AI accountable

To improve trust in AI systems

To improve the robustness of AI

All of the above

Explainability-accuracy trade-off

Lack of standardized evaluation metrics

Complexity of interpretability

All of the above

To estimate the impact of features on prediction

To estimate the accuracy of the model

To estimate the computational complexity

None of the above

Local Interpretable Model-Agnostic Explanations

Low Input Model-Agnostic Explanations

Linear Interpolated Model-Agnostic Explanations

None of the above

To explain individual predictions

To improve the accuracy of AI models

To improve the efficiency of AI models

None of the above

AI that can explain its own processes

AI that can learn without supervision

AI that can interact with humans

AI that can make decisions independently

Feature Importance

Partial Dependence Plots

Counterfactual Explanations

None of the above

It requires more data

It is computationally intensive

It reduces the accuracy of AI models

All of the above