CEO-Bench: New Benchmark Evaluates LLM Strategic Decision-Making
Sonic Intelligence
New benchmark assesses LLM executive decision-making.
Explain Like I'm Five
"Imagine a computer program trying to act like a company CEO. It needs to decide how to spend money across different parts of the company, but it gets different advice from its 'CFO,' 'CTO,' etc. This new test, CEO-Bench, checks how well the computer program can make smart decisions when everyone has different ideas and limited information, just like a real CEO."
Deep Intelligence Analysis
The context for this innovation stems from the increasing integration of LLMs into higher-order cognitive tasks, necessitating more robust evaluation methodologies beyond simple reasoning or knowledge retrieval. The challenge lies in designing benchmarks that mirror the 'defining challenge' of executive decision-making: the integration of diverse, often conflicting, expert opinions. CEO-Bench addresses this by evaluating LLMs across four dimensions: role integration, conditional boldness, history-sensitive judgment, and plan validity. Initial experiments with five frontier models across 13 scenarios indicate high structural validity, suggesting the benchmark effectively captures relevant aspects of strategic decision-making.
The forward implications are substantial for the development of AI agents capable of advanced strategic planning and organizational management. By providing a framework to assess an LLM's ability to navigate complex, multi-stakeholder decision environments, CEO-Bench could accelerate progress towards more autonomous and effective AI-driven decision support systems. This could lead to LLMs playing increasingly sophisticated roles in corporate strategy, resource optimization, and even potentially autonomous organizational leadership, though the ethical and practical considerations of such integration remain a critical area for future research and development.
Visual Intelligence
flowchart LR
A[LLM Agent] --> B{Receive Conflicting Advice}
B --> C[CFO]
B --> D[CTO]
B --> E[COO]
B --> F[CMO]
B --> G[Synthesize Plan]
G --> H{Evaluate Plan}
Auto-generated diagram · AI-interpreted flow
Impact Assessment
Existing LLM benchmarks often miss the complexity of real-world executive decisions, which involve integrating conflicting advice under information asymmetry and organizational constraints. CEO-Bench addresses this gap, providing a more realistic assessment of an LLM's ability to function in a strategic leadership role.
Key Details
- CEO-Bench evaluates LLMs on strategic resource reallocation in multi-round, constraint-rich environments.
- LLM agents receive conflicting advice from four C-suite advisors (CFO, CTO, COO, CMO) with private signals and distinct priorities.
- Evaluation dimensions include role integration, conditional boldness, history-sensitive judgment, and plan validity.
- Experiments across five frontier models on 13 scenarios revealed high structural validity.
Optimistic Outlook
This benchmark could accelerate the development of LLMs capable of sophisticated strategic planning and resource management, potentially leading to AI-driven decision support systems that enhance organizational efficiency. Improved LLM executive functions could revolutionize corporate strategy and operational execution.
Pessimistic Outlook
While CEO-Bench offers a more comprehensive evaluation, the inherent complexity of human executive decision-making, including intuition and unforeseen external factors, may remain beyond current LLM capabilities. Over-reliance on LLMs for strategic roles without human oversight could lead to critical errors if models fail to adapt to truly novel or ambiguous situations.
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