This is an overview article regarding artificial intelligence (AI) and its potential normative implications. Technology has always had inherent normative consequences not least due to AI and the use of algorithms. There is a crucial difference between algorithms in a technical sense and from a social-science perspective. It is a question of different orders of normativity—the first related to the algorithm as a technical instruction and the second to the consequences springing from the first order. I call these last-mentioned norms algo norms. These are embedded in the technology and determined by the design of the AI. The outcome is an empirical question. AI and algo norms are moving targets, which call for a novel scientific approach that relates to advanced practice. Law actualizes primarily for preventive reasons in relation to negative aspects of the new technology. No major regulatory scheme for AI exists. In the article, I point out some areas that raise the need for legal regulation. Finally, I comment on three main challenges for the digital development in relation to AI: (1) the energy costs; (2) the singularity point; and (3) the governance problems.

中文翻译：

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人工智能、规范、大数据和法律

这是一篇关于人工智能 (AI) 及其潜在规范影响的概述文章。技术总是具有固有的规范性后果，尤其是由于人工智能和算法的使用。从技术角度和从社会科学角度来看，算法之间存在着至关重要的区别。这是一个不同顺序的规范性问题——第一个与作为技术指令的算法有关，第二个与从第一个顺序产生的后果有关。我把这些最后提到的规范称为算法规范. 这些嵌入在技术中，由人工智能的设计决定。结果是一个经验问题。人工智能和算法规范正在移动的目标，这需要一种与先进实践相关的新颖科学方法。法律的实施主要是出于与新技术负面方面相关的预防性原因。不存在针对人工智能的主要监管计划。在文章中，我指出了一些需要法律监管的领域。最后，我评论了与人工智能相关的数字化发展的三个主要挑战：（1）能源成本；(2)奇点；(3)治理问题。