CogSci:Cognitive Science Society Annual Conference。 Explanation:认知科学学会年会。 Publisher:Psychology Press。 SIT: https://dblp.uni-trier.de/db/conf/cogsci/

最新论文

We characterize three notions of explainable AI that cut across research fields: opaque systems that offer no insight into its algo- rithmic mechanisms; interpretable systems where users can mathemat- ically analyze its algorithmic mechanisms; and comprehensible systems that emit symbols enabling user-driven explanations of how a conclusion is reached. The paper is motivated by a corpus analysis of NIPS, ACL, COGSCI, and ICCV/ECCV paper titles showing differences in how work on explainable AI is positioned in various fields. We close by introducing a fourth notion: truly explainable systems, where automated reasoning is central to output crafted explanations without requiring human post processing as final step of the generative process.

0
0
下载
预览
参考链接
Top
微信扫码咨询专知VIP会员