论文标题
科学面临互操作性是成功和邪恶的必要条件
Science Facing Interoperability as a Necessary Condition of Success and Evil
论文作者
论文摘要
人工智能（AI）系统（例如机器学习算法）使科学家，营销人员和政府可以阐明迄今为止仍然看不见的相关性。事先，我们必须连接的点才能想象新知识要么太稀疏，甚至没有被检测到。有时，该信息不会存储在同一数据湖或格式中，也无法交流。但是，在用AI创建新的桥梁时，出现了许多问题，例如偏见繁殖，不公平的推论或大规模监视。我们的目的是表明，一方面，AI的深层道德问题基本上是在系统互操作性使这些新联系中的可能性。在连接我们生活的领域时，这些系统破坏了每个人的正义概念，因为新的互动创造了社会物品从一个领域到另一个领域的统治地位。因此，这些系统使得球体彼此渗透，并在此过程中开放了进步和暴政。然而，另一方面，我们要强调的是，将过去似乎与先验脱节的行为联系起来是知识和科学进步的必要动作。
Artificial intelligence (AI) systems, such as machine learning algorithms, have allowed scientists, marketers and governments to shed light on correlations that remained invisible until now. Beforehand, the dots that we had to connect in order to imagine a new knowledge were either too numerous, too sparse or not even detected. Sometimes, the information was not stored in the same data lake or format and was not able to communicate. But in creating new bridges with AI, many problems appeared such as bias reproduction, unfair inferences or mass surveillance. Our aim is to show that, on one hand, the AI's deep ethical problem lays essentially in these new connections made possible by systems interoperability. In connecting the spheres of our life, these systems undermine the notion of justice particular to each of them, because the new interactions create dominances of social goods from a sphere to another. These systems make therefore spheres permeable to one another and, in doing so, they open to progress as well as to tyranny. On another hand, however, we would like to emphasize that the act to connect what used to seem a priori disjoint is a necessary move of knowledge and scientific progress.
