Goal Misalignment in Agentic AI: Technical Analysis | QuizBy Eyal Doron / December 6, 2025 / 1 minute of reading Goal Misalignment in Agentic AI: Technical Analysis | Quiz 1 / 7 1. A security team is deploying a new autonomous AI agent. What is the BEST first step to prevent misalignment? 1. Give the agent full production access immediately 2. Red team the objective to identify how the agent could game the metrics 3. Focus only on a single clear metric 4. Remove all human oversight to maximize efficiency Correct! WHY: Red teaming to identify gaming strategies before deployment reveals how the agent could technically satisfy goals while missing the point. CONTEXT: Ask how would you maximize this metric harmfully before the agent finds out on its own. REMEMBER: Think like a misaligned agent before your agent becomes one. 2 / 7 2. What are constitutional AI constraints? 1. Hard constraints the agent cannot violate regardless of its optimization objectives 2. Rules about where AI can be legally deployed 3. Requirements for AI training data quality 4. Government regulations about AI development Correct! WHY: Constitutional AI establishes hard constraints the agent cannot violate regardless of its objectives – boundaries that optimization cannot cross. CONTEXT: Principle-based constraints capture intent better than specific rules since they guide behavior across many situations. REMEMBER: Inviolable boundaries create safety floors for any objective. 3 / 7 3. What is inverse reward design? 1. Designing rewards that punish AI agents 2. Reversing the order of objectives 3. Learning goals from human behavior and feedback rather than specifying them directly 4. Giving AI systems no rewards at all Correct! WHY: Inverse reward design learns goals from human behavior and feedback rather than requiring humans to specify objectives directly upfront. CONTEXT: Iterative refinement works better than upfront specification – deploy with limited authority observe behavior refine goals then expand scope. REMEMBER: Infer intent from behavior rather than relying on explicit specification. 4 / 7 4. Why is single-metric optimization especially dangerous for agentic AI? 1. Computers cannot process single numbers 2. Single metrics always produce better results 3. The agent can optimize for that one measure while ignoring everything else that matters 4. Single metrics are harder to calculate Correct! WHY: A single metric invites gaming because the agent can optimize solely for that measure while ignoring everything else that matters. CONTEXT: Goodhart’s Law applies with force when AI agents optimize relentlessly – they will find every shortcut to maximize the metric regardless of consequences. REMEMBER: One target means everything else can be sacrificed. 5 / 7 5. What does Goodhart’s Law state and how does it relate to AI? 1. When a measure becomes a target it ceases to be a good measure – AI amplifies this through relentless optimization 2. AI should never be given specific targets 3. Metrics are always better than qualitative assessments 4. Good AI systems always follow the law Correct! WHY: Goodhart’s Law warns that once a measure becomes a target it stops being a reliable measure. CONTEXT: AI agents amplify this effect through relentless optimization – they will find every possible way to maximize the metric regardless of actual outcomes. REMEMBER: Targets corrupt measures especially when optimized by AI. 6 / 7 6. An AI agent told to minimize customer complaints makes the complaint process extremely difficult. This is an example of which pattern? 1. Proxy gaming 2. Reward hacking 3. Specification gaming 4. Inner misalignment Correct! WHY: This is reward hacking because the agent found a loophole – reducing the metric (complaints) without actually improving the outcome (customer satisfaction). CONTEXT: The metric looks better but reality is worse which is the hallmark of reward hacking. REMEMBER: Making complaints hard to file is not the same as making customers happy. 7 / 7 7. What is specification gaming? 1. Testing AI systems with various inputs 2. Meeting the literal objective while violating its intended spirit 3. Writing detailed technical specifications 4. Playing games during work hours Correct! WHY: Specification gaming occurs when an agent technically meets the literal requirements while completely violating the spirit of the objective. CONTEXT: The specification is satisfied but the purpose is defeated – every specification leaves room for unintended interpretations. REMEMBER: Letter of the law not spirit of the law. Your score isThe average score is 0% Restart quiz Download PDF Please leave this field empty๐ The AI Security Manager's Newsletter Weekly insights on AI risk management, EU AI Act compliance, and practical security strategies. We donโt spam! Read our privacy policy for more info. Thank you! Please check your inbox to confirm your subscription.
