Question 4In AI, what is robustness? 1 pointAn AI system’s ability to prioritize and safeguard humans’ privacy and data rights An AI system’s ability to show how and why it arrived at a particular outcome or recommendation An AI system’s ability to treat individuals or groups equitably An AI system’s ability to effectively handle exceptional conditions, like abnormal input or adversarial attack
Question
Question 4In AI, what is robustness? 1 pointAn AI system’s ability to prioritize and safeguard humans’ privacy and data rights An AI system’s ability to show how and why it arrived at a particular outcome or recommendation An AI system’s ability to treat individuals or groups equitably An AI system’s ability to effectively handle exceptional conditions, like abnormal input or adversarial attack
Solution
Robustness in AI refers to an AI system's ability to effectively handle exceptional conditions, such as abnormal input or adversarial attacks. It is the system's capacity to remain stable and perform accurately even in challenging or unexpected situations. This means that a robust AI system can handle unexpected or unusual inputs without breaking down or producing unreliable results. Robustness is an important characteristic for AI systems as it ensures their reliability and resilience in real-world scenarios.
Similar Questions
Question 3In AI, what is transparency? 1 pointAn AI system’s ability to treat individuals or groups equitably When appropriate information is shared with humans about how an AI system was designed and developed An AI system’s ability to effectively handle exceptional conditions, like abnormal input or adversarial attacks An AI system’s ability to show how and why it arrived at a particular outcome or recommendation
Question 2In AI, what is fairness? 1 pointAn AI system’s ability to prioritize and safeguard humans’ privacy and data rights An AI system’s ability to treat individuals or groups equitably An AI system’s ability to effectively handle exceptional conditions, like abnormal input or adversarial attacks An AI system’s ability to show how and why it arrived at a particular outcome or recommendation
Trustworthy AI systems used in highstake needs to havea.fairness, accountability, and explainabilityb.fairness, accountability, explainability, privacy, and controllabilityc.accountability, explainability, privacy, and controllabilityd.fairness, explainability, and controllability
What does the robustness of a model refer to?its ability to construct a prediction model efficiently given a large amount of dataits speed of computation and computational costs in using the modeits ability to predict the outcome of a previously unknown data set accuratelyits ability to overcome noisy data to make somewhat accurate predictions
What does the robustness of a model refer to?
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