One way of carving up the broad "AI ethics and society" research space that has emerged in recent years is to distinguish between "near-term" and "long-term" research. While such ways of breaking down the research space can be useful, we put forward several concerns about the near/long-term distinction gaining too much prominence in how research questions and priorities are framed. We highlight some ambiguities and inconsistencies in how the distinction is used, and argue that while there are differing priorities within this broad research community, these differences are not well-captured by the near/long-term distinction. We unpack the near/long-term distinction into four different dimensions, and propose some ways that researchers can communicate more clearly about their work and priorities using these dimensions. We suggest that moving towards a more nuanced conversation about research priorities can help establish new opportunities for collaboration, aid the development of more consistent and coherent research agendas, and enable identification of previously neglected research areas.

区分“近期”和“长期”研究在人工智能伦理和社会研究领域中已经具有广泛应用和重要性，但是文章对该分类方式的模棱两可和不一致性提出了一些担忧。为了建立新的合作机会、发展更一致的研究议程并确定以前忽视的研究领域，作者建议通过4个维度进行更加清晰的交流。

超越短期和长期：朝着更清晰的AI伦理与社会研究优先事项的阐述