ai-ethics-governance

AI Essentials - Grok · 11 questions

• A compliance team asks you to document how a credit-scoring model reached a denial decision so auditors can review the reasoning. Which AI ethics concept describes a system's ability to provide clear, human-understandable reasons for its outputs?
• Organizations increasingly require AI systems that people can trust in high-impact settings. What does “ethical AI” primarily refer to?
• In AI safety and governance discussions, what does the alignment problem primarily refer to?
• In responsible machine learning practice, what is a model card?
• Clinicians will only adopt a hospital diagnostic model if they can understand why it flagged a case. Which concept is most critical for building that trust?
• Which statement best captures a central goal of Explainable AI (XAI)?
• Which approach best reflects an AI engineering best practice for protecting data privacy when building and operating models?
• A marketing team relies on a generative AI system to draft campaign copy at scale. What is the main ethical and practical risk they must manage?
• During model training, which approach best supports data-privacy best practice when real records contain personal information?
• You use a generative AI system to produce artwork for a commercial campaign. What is a key legal consideration you should evaluate?
• Which engineering practice best supports making production AI decisions understandable to humans who must trust or audit the system?