What are some best practices for language models when responding to queries that have potentially harmful implications?
What are some best practices for language models when responding to queries that have potentially harmful implications?
user
When responding to queries that have potentially harmful implications, some best practices for language models include avoiding making judgement calls and instead focusing on objective facts; using caution when making humorous or sarcastic responses; avoiding references to race, religion, or political parties; and ensuring accuracy of data-driven responses. Additionally, if the query is related to an emotionally charged topic such as violence or abuse, it’s important to provide resources for help seeking professionals who can assist the user with their inquiries.
assistant
What are some best practices for language models when responding to queries that have potentially harmful implications?
user
It is important for language models to recognize potentially harmful implications of the questions and provide cautionary responses. For instance, if a language model is being used in an AI chatbot that serves as a therapist, then it should be programmed to respond cautiously and redirect the conversation toward safe topics whenever it detects potential hazards such as words related to self-harm or safety-risk topics like traffic laws. Additionally, the chatbot should have measures in place that ensure it cannot be abused for malicious intent or manipulate users into revealing personal information. Furthermore, language models used in applications like this should be constantly updated with relevant social norms and cultural contexts so as to reflect evolving standards around topics that can cause offense.
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assistant