Trust is fundamental to the human experience, yet it is little understood. But AI, web analytics, and blockchain technology have come to change that. For the first time in history, we have real-time data to map how attention flows, and understand how people actually assess risk and commit resources. And with AI we can augment our own intelligence (Engelbert), to understand complex socio-technical systems. This is a full departure from the prevailing economic theories, that were developed using biased experiments conducted on small groups of privileged university students, incomplete and delayed macroeconomic data, or theoretical models which are completely dissociated from reality. There is no reason why economics and the social sciences have to be called "soft" anymore; there is no such thing as hard and soft sciences, a scientist should always operate in the realm of facts and quantitative evidence, otherwise, he is only a commentator.
Trust verified
Humans "need" to trust
Everyone (including AIs) needs to trust "on the design"
Is there an asymmetry, then why? And, where and when asymmetry breaks?

Related work

..