4. Epistemic Filter
- For users: Emma could see the epistemic filter acting as a guide for users to critically evaluate responses, especially where evidence and justification are essential. This filter would encourage users to look for answers that are supported by clear reasoning or sources, helping them to develop a natural scepticism towards answers that lack justification.
- For developers: Developers could improve the output of the LLM by implementing confidence scoring and, where possible, citation generation. By allowing the model to signal when it's more or less confident in its answers, developers could give users insight into how "sure" the model is. In addition, training the model to draw from reputable data sources or cite references would allow users to assess the basis for the answer, leading to more informed judgements.