The potential for artificial intelligence (AI) to change government, making it more effective in terms of delivering results at lower costs, is enormous. Private-sector uses are becoming much more common and evident, so the pressure for governments to deliver similar experiences will only grow. And, the COVID pandemic has only accelerated the realization and application of AI to healthcare issues governments are dealing with.
However, AI is not 'just another technology' a government must implement. It is quite different in a number of ways - from the expertise required that you hire and retain, to the data management policies and procedures you develop, to the formal application of 'ethical AI'. These topics are very different from how we've thought of them in using other technologies. We cannot treat the move from AI pilots to scaled production as 'just another IT project.'
This article outlines the key six areas we need to develop ideally early in your government's AI journey:
5. Innovation and Platforms
6. Ethics and How to Apply Them
If you want to figure out the best way to start moving from dabbling with pilots to bringing AI to scale in your government, this article is a decent place to get a quick idea of what you should be thinking about.
Artificial intelligence can possibly transform government operations. Nonetheless, government agencies must be prepared to exploit this potential. To do this, they should build a strong establishment by placing the correct information and technology platforms in place, while simultaneously building up the talent, strategy, and governance processes expected to successfully implement and utilize AI solutions.