State-of-the-art machine learning systems now routinely exceed benchmarks once thought beyond the ken of artificial intelligence (AI). Often these systems accomplish tasks through novel, insightful processes that remain inscrutable to even their human designers. Taking AlphaGo’s 2016 victory over Lee Sedol as a case study, this paper argues that such accomplishments manifest the essential features of achievements as laid out in Bradford’s 2015 book Achievement. Achievements like these are directly attributable to AI systems themselves. They are artificial achievements. This opens the door to a challenge that calls out for further inquiry. Since Bradford grounds the intrinsic value of achievements in the exercise of distinctively human perfectionist capacities, the existence of artificial achievements raises the possibility that some achievements might be valueless.

中文翻译：

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人工成就

最先进的机器学习系统现在经常超过曾经被认为超出人工智能 (AI) 范围的基准。通常，这些系统通过新颖、富有洞察力的流程来完成任务，而这些流程甚至对于人类设计师来说仍然是难以理解的。本文以 AlphaGo 2016 年战胜李世石为例，认为这种成就体现了布拉德福德 2015 年著作《成就》中所阐述的成就的本质特征。这些成就直接归功于人工智能系统本身。它们是人为的成就。这为挑战打开了大门，需要进一步调查。由于布拉德福德将成就的内在价值建立在人类特有的完美主义能力的运用之上，因此人为成就的存在增加了某些成就可能毫无价值的可能性。