How Do We Really Evaluate AI? Organization & Context This section helps us understand your organization's activities and involvement in AI evaluation. An organization may both conduct evaluations and be evaluated by others.
What best describes your organization?
What is your role in AI-related evaluation, deployment, investment, or procurement decisions?
Which of the following activities currently apply to your organization?
What is your organization's role in AI evaluation?
AI Evaluation Practices This section explores when AI evaluations take place, what they cover, and how they are conducted. Please consider evaluations your organization performs, commissions, or undergoes.
At which stages do AI-related evaluations, reviews, or due-diligence assessments take place in processes involving your organization?
Which aspects of AI systems are considered in assessments involving your organization?
Which evaluation methods are used in assessments that your organization conducts, commissions, or undergoes?
Are explicit evaluation or acceptance criteria defined before AI assessments involving your organization?
Third-Party AI & Behavioral Robustness This section examines risks associated with third-party AI models, autonomous agents, and unexpected AI behavior, including situations where systems operate within their instructions but produce unintended outcomes.
Which risks associated with third-party LLMs or agentic AI workflows are considered in assessments involving your organization?
How are unexpected or unintended AI behaviors examined in assessments involving your organization?
If possible, describe an example of unexpected AI behavior or an evaluation blind spot.
Does your organization examine whether AI systems can comply with explicit instructions and rules while still producing unintended or unacceptable outcomes?
Governance, Accountability & Responsibility This section explores how organizations assign responsibilities for AI systems, make decisions, and address accountability, including when third-party AI technologies are involved.
How are responsibilities for AI evaluation, deployment approval, and ongoing monitoring assigned within your organization?
How does your organization view responsibility for outcomes involving third-party AI models or services?
Where, if anywhere, do you see ambiguities or difficulties in assigning responsibility for AI-related decisions, evaluations, or outcomes?
Due Diligence & Verification This section explores the evidence, standards, and verification practices involved in AI-related investment decisions, vendor assessments, and procurement processes. Questions apply whether your organization requests, provides, or reviews evaluation evidence.
In AI investment due diligence or enterprise vendor reviews involving your organization, which types of evidence are typically requested or provided?
Which AI-related frameworks, standards, or regulatory requirements are referenced in assessments involving your organization?
How does your organization verify that AI-related requirements are actually satisfied?
Challenges, Gaps & Emerging Needs This final section explores the practical challenges organizations encounter in AI evaluation, the circumstances in which independent assessments may be relevant, and aspects of AI evaluation that remain insufficiently addressed.
In which situations would an independent AI assessment be relevant to your organization?
What are the main challenges your organization encounters in AI evaluation, and what makes them difficult to address?
What aspects of AI evaluation do you believe are currently overlooked or insufficiently addressed?
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