SEC sued over unlawful targeting of crypto industry

 But I like [insert name here].

focusing on the AI part of the problem.Looking at how people use RL to train systems to play some types of video games or chess.

What do we need to do this? Its food for thought for the economics community.because data can be used to inform how the simulation works.I think really the opportunity here is for AI researchers to work together with economists.

they might say that the world is more or less the same every year.the AI Economist team has open-sourced all the code and experimental data based on the research.

somebody gives you a static data set.

Another part of the way forward for the AI Economist team is more outreach to the economist community.of course; at least 42% of technologists responding said the AI life cycle data-sourcing stage is very challenging.

A recent survey of 504 IT executives.but there are many roadblocks to overcome.

To successfully build AI models. In light of the slow progress addressing AI bias and unfairness.