(This article is presented in two interconnected parts.
Part One lays the conceptual foundation by examining the key
antitrust and intellectual property challenges arising from AI and
algorithmic markets. Part Two builds on that framework by analysing
the Indian regulatory perspective, global enforcement trends and
the broader policy conclusions that will shape the future of AI
governance.)
- AI's Disruption of Patent Law and
Inventorship
6.1 Can AI Be an
Inventor?
AI systems have advanced to a point where they can autonomously
generate a wide array of complex outputs that were once the
exclusive domain of human expertise. Today, machine learning models
are capable of proposing novel chemical
formulations, identifying promising drug
candidates and producing detailed engineering
schematics that optimise both function and efficiency.
They can write sophisticated software code, create
innovative product designs and develop
optimization algorithms that refine
