School of Psychology,The University of Sydney,NSW 2006,
Behav Brain Sci. 2017 Jan;40:e270. doi: 10.1017/S0140525X1700019X.
Although we agree with Lake et al.'s central argument, there are numerous flaws in the way people use causal models. Our models are often incorrect, resistant to correction, and applied inappropriately to new situations. These deficiencies are pervasive and have real-world consequences. Developers of machines with similar capacities should proceed with caution.
尽管我们同意 Lake 等人的核心观点，但人们使用因果模型的方式存在许多缺陷。我们的模型往往是不正确的，难以纠正，并且不适当地应用于新情况。这些缺陷普遍存在，并具有实际后果。具有类似能力的机器的开发者应该谨慎行事。
