Welcome to Neurals beginners guide to AI.
In this edition of the guide, well take a glance at global AI policy.
The US, China, Russia, and Europe each approach artificial intelligence development and regulation differently.
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Artificial intelligence has traditionally been swept in with other technologies when it comes to policy and regulation.
That worked well in the days when algorithm-based tech was mostly used for data processing and crunching numbers.
But thedeep learning explosionthat began around 2014 changed everything.
Today, we know that AI trackers are following our every move online.
In the US, thereslittle in the way of regulation.
In fact the US government is highly invested in many AI technologies the global community considers problematic.
In Russia,the official policyis one of democratizing AI research by pooling data.
However, the Russian government has also been connected toadversarial AI opstargeting governments and civilians around the globe.
Its difficult to discern what rules Russias private sector will face when it comes to privacy and AI.
China, on the other hand, has been relatively transparent about its AI programs.
The PRC intends on beingthe global leader in AItechnology by 2030.
Its program to achieve this goal includes massive investments from the private sector, academia, and the government.
Europesvision for AI policyis a bit different.
The future
Predicting the future of AI policy is a tricky matter.
Technology policy is often a reactionary discipline: countries tend to regulate things only after theyve proven problematic.
And, we dont know what major events or breakthroughs could prompt radical policy change for any given nation.
In 2021, the field of artificial intelligence is at an inflection point.
