Current methods for assessing AI decision-making performance often rely too heavily on outcome-based financial metrics. This approach fails to distinguish between genuine strategic intelligence and simple luck in unpredictable environments.
Current methods for assessing AI decision-making performance often rely too heavily on outcome-based financial metrics. This approach fails to distinguish between genuine strategic intelligence and simple luck in unpredictable environments.