Here's some insight: http://io9.gizmodo.com/academic-fraud-in-china-is-getting-ou...
http://www.thelancet.com/journals/lancet/article/PIIS0140-67...
http://www.scidev.net/global/networks/editorials/china-must-...
China has also progressed quite handily economically and technologically, areas that don't admit to too much reliance on things that don't work. Cautious skepticism isn't the same as out-of-hand dismissal.
AI/machine learning has slightly more accountability than many other scientific fields, in that unless you provide an implementation for people to inspect or your results are easy to replicate, people generally aren't going to be particularly interested for long. There are exceptions to that principle, like AlphaGo, but the tests of AlphaGo speak for themselves. It's a very results-driven field, where you're not going to be able to get away with specious claims for long.