Author: Sridharshini S, Student at Bharath Institute of Law, Chennai
ABSTRACT
Advancement in intellectual property has been more of a challenge in terms of protecting its rights rather than contributing to the industrial development. Artificial intelligence being the prime time has led to amending the proviso relentlessly for certifying a certain intellectual property. Infringing marks and rights of the intellectual properties continue to coexist with the development of intellectual properties. Algorithms serving as the future, can be presented to effectuate the intellectualization of trademarks in block chain technology via naming system providers. Consequently, standards of the certifying qualifications for trademark registration evolves with the expansion in the arena of intellectual properties and artificial intelligence. Though block chain technology has its own shortcomings, with the contemporary discovery of predictive analytics in artificial intelligence, the demerits such as cybersquatting, consumer confusion, fraud, meta tagging, and others in relation shall be narrowed down. Predictive analytics, as the name suggests, provides predictions with the data instilled those aids in predictions of a certain specified case by offering more precise outputs. Such is, also to maintain sustainability in all aspects of the field where predictive analytics is implied. The exercise of predictive analytics to calculate the probability of risk in infringing marks, market conditions, common misperceptions and various other related concerning trademark infringement whilst helps in identifying cybersquatting and Meta tagging when trademarks are encrypted in block chain technology. Trademarks and competition law has a conventional node when it comes to market conditions of goods or services. Predominantly, block chain technology can be seen growing in the market spaces relating to social networking, metaverse, banking institutions, e-commerce, NFTs and various other categories of technology in trend.
