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The rapid expansion of AI poses a dilemma for organizations, as prioritizing speed may lead to neglecting ethical guidelines, bias detection, and safety measures. To mitigate these risks, this article proposes thirteen principles for responsible AI at work. It is important to recognize that the AI arms race extends beyond the developers of large language models, and encompasses many companies utilizing LLMs to support their own custom applications.