AI is going to be a major component of economic competitiveness. It is also going to be a force multiplier in strategic capacity.

AI, by itself, and by the uses it is put to, poses major challenges. There are concerns about the control and regulation of AI.

In the first place, there must be robust data protection framework. Data fuels AI. How data is used to train AI has implications for data subjects (whose data is utilised) and for the kind of algorithms produced. In facial recognition software, making use of AI, there could be a racial bias. It is, therefore, necessary to be careful about AI at development stage itself. AI must be able to explain how and why it has reached a certain conclusion. Tracebility of datasets used for creating or training the algorithms involved is essential. Another focus should be on accountability — it should function properly.