Responsible AI practicesFull notesSummaryRingkasanStoriesPracticeResponsible AI6 exam-style questions on this lesson.Question 1 of 6What is responsible AI?AA type of neural network designed to reduce errorsBA legal contract between AWS and its customers about AICPractices and principles for transparent, trustworthy AI that mitigates risksDA set of tools that makes models run faster and cheaperCheck answerQuestion 2 of 6At which stage of the AI lifecycle should responsible AI practices be applied?AOnly when a regulator asks for an auditBOnly after the model is deployed to productionCOnly during design, before any code is writtenDAcross the whole lifecycle, from design to monitoringCheck answerQuestion 3 of 6Does responsible AI apply only to generative AI?ANo, it applies to traditional ML and generative AI alikeBNo, it applies only to traditional MLCYes, because only foundation models can be biasedDYes, traditional ML has no responsible AI concernsCheck answerQuestion 4 of 6. Select two.Which TWO are part of a responsibly run AI system? (Select TWO.)ATransparency and accountability, with monitoring and oversightBLetting the model run without any human oversightCSkipping guidelines to ship fasterDA leadership team accountable for the responsible AI strategyEHiding how the system works from all stakeholdersCheck answer0 of 2 selectedQuestion 5 of 6How do traditional ML models differ from generative AI models in this course's framing?AGenerative AI models don't need any data preparation at allBTraditional ML does one task per model; foundation models handle manyCTraditional ML models handle many tasks, while generative AI does one taskDTraditional ML models never need prepared training dataCheck answerQuestion 6 of 6. Select two.Which TWO are ways generative AI brings business value, according to the course? (Select TWO.)ACreativityBGuaranteed accuracyCProductivityDRemoval of human oversightEElimination of all risksCheck answer0 of 2 selectedBusiness Metrics for Generative AI6 exam-style questions on this lesson.Responsible AI Challenges in Traditional AI and Generative AI12 exam-style questions on this lesson.