The author also proposes four levels of AI sovereignty: strict, mild, loose, and none, each with varying degrees of adherence to the concept. The article concludes by stating that AI sovereignty is a world-stage topic, being discussed by the United Nations and politicians across the globe. The author encourages readers to join the discourse, as the future of AI and humankind potentially hangs in the balance.
Key takeaways:
- AI sovereignty refers to a nation’s ability to limit access to AI that has been designed, developed, and deployed within that sovereign state, including exercising control over the AI to the exclusion of other countries.
- There are debates about the feasibility and ethics of AI sovereignty, with critics arguing it could lead to a new kind of cold war and hinder the collective pursuit of artificial general intelligence (AGI).
- AI sovereignty involves several vital portions including AI core base of data, AI initial data training, AI fine-tuning, AI ongoing upkeep, AI infrastructure, AI user access, AI teams used, and AI laws and ethical norms.
- There could be different levels of AI sovereignty ranging from strict AI sovereignty where all conditions are met, to loose AI sovereignty where there is a wide latitude of not having to abide by the sovereign aspects.