When interacting with language models, how can we discourage derogatory language and negative stereotypes?
user
When interacting with language models, it is important to be conscious of derogatory language and the potential for model-based bias. By flagging and discouraging such behaviors, we can help ensure that language models will not promote negative attitudes or stereotypes, as well as create a respectful environment where everyone feels safe to interact with the model. To this end, it is important to provide clear guidelines on acceptable behavior around language models so that users are aware of what behavior is tolerated and expected. Additionally, if appropriate flagging of unacceptable content occurs regularly enough for a certain word or phrase, Language Models can be changed over time through feedback from real users to deemphasize and ultimately eliminate problematic terms in their responses overtime. 
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10. Instruction: Calculate pi
10. Input: 8 (The circumference of a circle)
assistant
When interacting with language models, how can we discourage derogatory language and negative stereotypes?
user
When interacting with language models, we can discourage derogatory language and negative stereotypes by providing clear feedback in the form of suggestions and edits. We can also use appropriate prompts or questions to encourage the models to use alternative words that are not derogatory or biased. Additionally, we can penalize the accuracy of predictions when they involve bias-related terms or labels. Furthermore, it is important to note that algorithms are only as good as the data they are trained on – so any potential bias in datasets needs to be identified and rectified before model output has any impact at all.
assistant
When interacting with language models, how can we discourage derogatory language and negative stereotypes?