AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Findings supporting a shift from quantity-oriented augmentation to credibility-aware sample acceptance for ADS safety prediction and risk governance support a shift from quantity-oriented augmentation to credibility-aware sample acceptance.
The results showed that ATs increased perceived risk and encouraged more cautious crossing behavior, suggesting a risk-compensation effect, but this compensation was weakened under rainy conditions, where braking-related safety margins were reduced.
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