International standards bodies are developing guidelines and specifications to address the rapid advancements in artificial intelligence [1].

These efforts are critical because the speed of AI evolution threatens to outpace existing regulatory frameworks. Establishing a unified set of rules helps ensure that AI systems remain trustworthy and that nations remain competitive in a global market.

Standardization creates a common language for developers and regulators. Without these agreed-upon specifications, technology could fragment into incompatible regional silos, creating barriers to trade and safety.

Joe McKendrick said, "Standards can be called the 'invisible infrastructure' - the guidelines and specifications that make our world, especially our technology world, tick" [1].

This invisible infrastructure serves as the foundation for how software and hardware interact. By formalizing these rules, standards bodies aim to mitigate risks associated with AI deployment while fostering an environment where innovation can scale safely.

The process involves coordinating across different global jurisdictions to align on what constitutes a secure and reliable AI system. This alignment is intended to provide a baseline for trust, allowing users and businesses to adopt new tools with greater confidence in their stability and predictability [1].

As the AI wave continues to accelerate, the race to define these standards has become a priority for international bodies seeking to maintain global technological cohesion.

“Standards can be called the 'invisible infrastructure'”

The push for global AI standards represents a shift from reactive regulation to proactive infrastructure building. By establishing these specifications now, international bodies are attempting to prevent a 'splinternet' of AI, where different regions operate under incompatible technical and ethical rules, which would hinder global interoperability and economic efficiency.