论文标题
AIQ元测试：务实桥接学术AI测试和工业Q的需求
The AIQ Meta-Testbed: Pragmatically Bridging Academic AI Testing and Industrial Q Needs
论文作者
论文摘要
AI解决方案似乎出现在任何应用程序域中。随着人工智能变得更加普遍，质量保证的重要性也会增加。不幸的是，关于人工智能的含义尚无共识，从简单的统计分析到有情的人形机器人。最重要的是，质量是一个很难确定的概念。这对AI质量意味着什么？在本文中，我们分享了我们的工作定义和务实的方法来解决相应的质量保证，重点是测试。最后，我们介绍了建立AIQ元测试的持续工作。
AI solutions seem to appear in any and all application domains. As AI becomes more pervasive, the importance of quality assurance increases. Unfortunately, there is no consensus on what artificial intelligence means and interpretations range from simple statistical analysis to sentient humanoid robots. On top of that, quality is a notoriously hard concept to pinpoint. What does this mean for AI quality? In this paper, we share our working definition and a pragmatic approach to address the corresponding quality assurance with a focus on testing. Finally, we present our ongoing work on establishing the AIQ Meta-Testbed.
