Pasquinelli Matteo, Joler Vladan
Media Philosophy Department, Karlsruhe University of Arts and Design, Karlsruhe, Germany.
New Media Department, Academy of Arts, University of Novi Sad, Novi Sad, Serbia.
AI Soc. 2021;36(4):1263-1280. doi: 10.1007/s00146-020-01097-6. Epub 2020 Nov 21.
Some enlightenment regarding the project to mechanise reason. The assembly line of machine learning: data, algorithm, model. The training dataset: the social origins of machine intelligence. The history of AI as the automation of perception. The learning algorithm: compressing the world into a statistical model. All models are wrong, but some are useful. World to vector: the society of classification and prediction bots. Faults of a statistical instrument: the undetection of the new. Adversarial intelligence vs. statistical intelligence: labour in the age of AI.
关于使推理机械化项目的一些启示。机器学习的流水线：数据、算法、模型。训练数据集：机器智能的社会起源。作为感知自动化的人工智能历史。学习算法：将世界压缩成一个统计模型。所有模型都是错误的，但有些是有用的。世界向向量的转变：分类与预测机器人的社会。统计工具的缺陷：对新事物的未察觉。对抗性智能与统计智能：人工智能时代的劳动。
