eu ai act
AI, ML & GenAI interview questions tagged eu ai act, across every topic.
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Concepts behind "eu ai act"
The curriculum that explains the ideas these questions test.
Core
AI Governance FrameworksAI governance is the program that keeps deployments safe, fair, and compliant: risk assessment, documentation (model cards, datasheets), human oversight, monitoring, and incident response, shaped by frameworks like the NIST AI Risk Management Framework and laws like the EU AI Act (which tiers obligations by risk). For high-risk systems, the practices this domain already recommends turn legally mandatory. AI, ML, and GenAI interviews probe it because enterprise and regulated deployments require it, and it converts ad-hoc safety into an auditable process.🛡️ AI Security, Privacy & GovernanceSign in
Core
Automation Bias and Effective Human OversightAutomation bias is the documented tendency for a person shown a confident machine recommendation to anchor on it and stop hunting for contradicting evidence, which makes 'human in the loop' weakest exactly where the model is wrong. Effective oversight means designing against that: independent-then-reveal review, calibrated uncertainty instead of a single confident label, blind audits that measure the real override rate, and evaluating the human-plus-model pair rather than the model alone. AI, ML, and GenAI interviews probe it because almost every risk register lists a human reviewer as the mitigation and almost nobody measures whether that reviewer changes any outcome.🛡️ AI Security, Privacy & GovernanceSign in
