AI governance requires precise language. Learn the collocations that sound natural when discussing model risk, bias audits, accountability frameworks, and AI ethics committees in professional English.
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The AI ethics committee was asked to ___ a governance framework for all production ML models before Q3.
Establish a governance framework is the precise formal collocation — governance structures are 'established' to signal their official, durable nature. 'Build' is too structural; 'create' implies novelty without process; 'develop' is close but less final.
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Before deployment, every model must ___ a bias audit to meet our responsible AI standards.
Undergo a bias audit is the standard collocation — processes and evaluations are 'undergone' in formal professional English. 'Pass' implies a binary result; 'complete' is generic; 'finish' is too informal for audit language.
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The product team must ___ accountability for any algorithmic decisions that affect end users.
Assume accountability is the idiomatic collocation in governance and leadership language. 'Bear' works in legal contexts; 'hold' is used for external assignment of accountability; 'carry' is informal. 'Assume' conveys voluntary, proactive acceptance of responsibility.
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We need to ___ model risk across the entire portfolio, not just flag-and-ignore individual cases.
Manage model risk is the standard financial and AI governance collocation. Risk is 'managed' systematically; 'reduce' implies elimination; 'handle' is too informal; 'address' suggests a one-time fix rather than ongoing governance.
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All AI vendors must ___ evidence of fairness testing before their tools are approved for internal use.
Provide evidence is the natural collocation in compliance and governance contexts. 'Submit' implies paperwork; 'show' is too informal; 'offer' suggests optionality. 'Provide evidence' is the standard phrase in regulatory and audit language.