> Computers are not in our world. I have earlier said that neural networks need not be programmed, and therefore can handle tacit knowledge. However, it is simply not true, as some of the advocates of Big Data argue, that the data "speak for themselves". Normally, the data used are related to one or more models, they are selected by humans, and in the end they consist of numbers.
> If we think, for example like Harari, that the world is “at the bottom” governed by algorithms, then we will have a tendency to overestimate the power of AI and underestimate human accomplishments. The expression “nothing but” that appears in the quotation from Harari may lead to a serious oversimplification in the description of human and social phenomena. I think this is at least a part of the explanation of the failure of both IBM Watson Health and Alphabet’s DeepMind.
> "IBM has encountered a fundamental mismatch between the way machines learn and the way doctors work" (Strickland, 2019) and DeepMind has discovered that “what works for Go may not work for the challenging problems that DeepMind aspires to solve with AI, like cancer and clean energy” (Marcus, 2019).
