Google AI Research examined 120 LLMs for behavioral alignment. Researchers found that only 15% of models consistently avoided harmful stereotypes across all prompts. The analysis highlights gaps in current training data and prompts new mitigation strategies, including curated datasets. Practitioners should audit model outputs and integrate bias‑aware prompts, especially in high‑stakes domains.