AI Accountability Failures: What Can Go Wrong | QuizBy Eyal Doron / December 6, 2025 / 1 minute of reading AI Accountability Failures: What Can Go Wrong | Quiz 1 / 7 1. What is the purpose of a RACI matrix in AI accountability? 1. To document who is responsible accountable consulted and informed for each AI decision 2. To rank AI systems by their risk level for compliance purposes 3. To assess the technical capabilities of AI team members 4. To calculate the return on investment for AI governance programs Correct! WHY: A RACI matrix documents who is Responsible Accountable Consulted and Informed for each aspect of the AI system lifecycle preventing ambiguity. CONTEXT: This structured approach unites cross-functional teams under shared responsibility instead of allowing siloed thinking. REMEMBER: RACI prevents the everyone and therefore no one is responsible trap. 2 / 7 2. What was the root cause of the Zillow iBuying collapse according to the article? 1. The company lacked sufficient training data for home prices 2. COVID market conditions were impossible to predict 3. No one was assigned responsibility for monitoring model drift 4. The AI algorithm was fundamentally flawed from the start Correct! WHY: The monitor role was unowned meaning no one was assigned responsibility for watching model drift and escalating concerns to leadership. CONTEXT: This resulted in 569 million dollars in losses and 2000 layoffs because model drift festered for months without anyone accountable for detection. REMEMBER: Models degrade silently and someone must be watching. 3 / 7 3. What quick win does the article recommend for improving AI accountability? 1. Hire a dedicated AI ethics officer for your organization 2. Define the accountable owner and required documentation for your two highest-risk AI systems 3. Purchase AI governance software from a major vendor 4. Create an AI ethics committee with monthly meetings Correct! WHY: Defining accountable owners and documentation requirements for high-risk systems is an immediate actionable step that addresses the most critical accountability gaps. CONTEXT: This focuses resources on the systems where accountability failures would cause the most harm. REMEMBER: Start with your two highest-risk AI systems this month. 4 / 7 4. What is the maximum EU AI Act penalty for accountability failures mentioned in the article? 1. 5 million euros or 0.5 percent of global revenue 2. 10 million euros or 1 percent of global revenue 3. 35 million euros or 4 percent of global revenue 4. 100 million euros or 10 percent of global revenue Correct! WHY: The EU AI Act establishes significant financial penalties to enforce accountability requirements for high-risk AI systems. CONTEXT: This reflects the regulatory trend toward codifying accountability expectations with real financial consequences. REMEMBER: 35 million euros or 4 percent of revenue represents substantial organizational risk. 5 / 7 5. What characterizes diffused responsibility as an accountability failure pattern? 1. Technical complexity that prevents anyone from understanding the system 2. Documentation spread across multiple systems making it hard to find 3. A single executive taking too much control over AI decisions 4. Responsibility split across teams so each can blame others when problems occur Correct! WHY: When responsibility splits across multiple teams each team can point to decisions made by others creating gaps where harm falls through organizational cracks. CONTEXT: This is the everyone is responsible therefore no one is responsible trap that paralyzes incident response. REMEMBER: If everyone is responsible nobody is responsible. 6 / 7 6. When a company says the AI did it in response to AI-caused harm what does this represent? 1. An accountability failure that deflects responsibility to the algorithm 2. A technical explanation for model behavior 3. A valid legal defense in most jurisdictions 4. An accurate description of autonomous AI decision-making Correct! WHY: Saying the AI did it is an accountability failure because it deflects responsibility to a tool rather than the humans who chose to deploy it. CONTEXT: Just as we do not say the spreadsheet did it when financial decisions go wrong we cannot blame AI for decisions humans enabled. REMEMBER: AI is a tool and tools cannot be accountable. 7 / 7 7. What is an AI accountability failure? 1. When AI models exceed their computational budget 2. When machine learning training takes too long 3. When AI systems fail to produce accurate predictions 4. When responsibility for AI decisions is diffused or deflected so no one is clearly responsible Correct! WHY: An AI accountability failure occurs when no one can be identified as responsible for AI decisions and their consequences. CONTEXT: This creates accountability gaps where harm goes unaddressed and remediation becomes impossible. REMEMBER: If nobody is accountable then nothing gets fixed. Your score isThe average score is 0% Restart quiz Download PDF Please leave this field empty🔐 The AI Security Manager's Newsletter Weekly insights on AI risk management, EU AI Act compliance, and practical security strategies. We don’t spam! Read our privacy policy for more info. Thank you! Please check your inbox to confirm your subscription.
