Various philosophers have recently defended norms of inquiry which forbid inquiry into questions which lack true answers. I argue that these norms are overly restrictive, and that they fail to capture an important relationship between inquiry and our position as non-ideal epistemic agents. I defend a more flexible and forgiving norm: Epistemic Improvement. According to this norm, inquiry into a question is permissible only if it’s not rational for one to be sure that by inquiring one won’t improve epistemically upon (...) the question. This norm illuminates the significant role that inquiry plays in our lives, given our epistemic nonideality, and it also motivates a robust understanding of the value of inquiry, as encompassing epistemic improvements which go beyond figuring out the answers to questions. (shrink)

This paper seeks to answer the question: Can contemporary forms of artificial intelligence be creative? To answer this question, I consider three conditions that are commonly taken to be necessary for creativity. These are novelty, value, and agency. I argue that while contemporary AI models may have a claim to novelty and value, they cannot satisfy the kind of agency condition required for creativity. From this discussion, a new condition for creativity emerges. Creativity requires curiosity, a motivation to pursue epistemic (...) goods. I argue that contemporary AI models do not satisfy this new condition. Because they lack both agency and curiosity, it is a mistake to attribute the same sort of creativity to AI that we prize in humans. Finally, I consider the question of whether these AI models stand to make human creativity in the arts and sciences obsolete, despite not being creative themselves. I argue, optimistically, that this is unlikely. (shrink)