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The next step is to harmonise intergovernmental regulation that can keep AI development within pre-approved limits. All this is, however, intent, and 'regulation' lacks teeth. But the global response to AI has made some progress between Bletchley Park in Britain where the first AI safety summit was held and Seoul. Regulation of AI is moving from companies and academics to governments that are acquiring capacity to oversee and check its evolution.
There are two ways to approach AI regulation. The first would be to apply rules to use cases. Thus, development of AI in medicine would have to conform to existing and some new regulatory conditions for the health industry.
These rules can then be adjusted to fit some other industry, for instance, finance. Governments would collaborate in each of these verticals to come up with a broad set of global rules. A scaffolding, thus, emerges to keep AI within legal limits across a range of its uses. A separate set of rules would also similarly emerge on what AI should not be doing, such as its use in warfare.
The second, and much more nettlesome, approach is to control AI's development at source. This would be in response to the risk that AI is able to independently outwit some or all use-case regulation - the Armageddon scenario. The approach to regulation here would be to control AI through computing power, over which tech creators and lawmakers differ.
Governments are already prevailing by linking transparency and governance with size. Just as thresholds of ethical behaviour are being imposed on the basis of impact scale of AI deployment. All of these now await being converted into a legal harness to guide AI.
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