ROLE OF ARTIFICIAL INTELLIGENCE IN INTELLECTUAL PROPERTY

INTRODUCTION

From many years, Artificial Intelligence has been considered as a promising technology. The capacity to influence large magnitude of data effectively and swiftly and swiftly identifying the most prominent solution can be enforced to millions of daily scenarios. Now, a time has come when it is possible for artificial intelligence to give solution to century old problems and concerns.

To understand this, we can take an illustration related to management of traffic. The very first system of management of traffic in London was gas-lit traffic signal that was operated manually. However, this system did not last for more than 2 months. Presently, traffic is going very slow and this has never happened.

But, the artificial intelligence has ability to transform this. It can produce data on blockage issues, volumes of traffic that that swiftly provide the potential solution for the traffic in London. For this reason, artificial intelligence is helpful for those organisations that are desirous of solving very composite as well as data heavy challenges.

In today’s era utilities are making use of artificial intelligence to outlook demand for electricity. Artificial intelligence is also used by the mobile networks to supervise ever-growing demand for the data. Artificial intelligence also has remarkable impact on the Intellectual Property.

MINIMIZING RISK AND IMPROVING EFFICIENCY

The most time rigorous and dicey field of Intellectual Property is IP administrative responsibility. There are many legal firms as well as corporate boards of IP that may at any point of time is able to encompass millions of individual data items of IP, that dealt with millions of various products and across millions of territory. However, this has been a very gradual procedure.

Let us take an example of an individual patent that has been enforced for the protection by the corporation in many countries. If there are group of agents, who are very well known with particular procedures that is needed to achieve protection in particular countries, this will eventually help corporation to attain its objectives. In this process, thousands of articles of paperwork will be evolved in different languages and each will have their own objection as well as convenience.

All this data will be evaluated manually and after that it is put into the management process of Intellectual Property. However, there is every possibility that this may conclude into various statistics processing flaws. If we take an example of multiple patents we will get ample convenience to see flaws and those flaws have no limits i.e. they are endless. Even then, large number of countries considers Intellectual Property as their significant resource. It is very interesting to note that WIPO (World Intellectual Property Organisation) evaluated almost one-fourth of patents data incorrect. So, the hazard is very obvious and visible.

Further, a lot of time and amount enlarges from manual labour who is engaged in inputting information. If this action is not mechanized, it will free IP expertise as well as law firms to pay more attention on critical concerns. Artificial Intelligence that is very proficient in processing information swiftly and efficiently can help both adeptness and efficiency. This will in addition also provoke IP expertise as well as law firms to take more critical character within the organization, in helping shaping activities of future associations and leaving ordinary facets to computers in respect of IP management.

ANALYTICS AND SEARCH   

There has been a continuous growth in the assets of Intellectual Property. As per the report of WIPO, between the year 2014-15 there has been a growth of 7.8% in the filings of patent. This tendency of upward growth in the filings of patent lasted for about 20 years. That is the reason the assets as well as documentation of Intellectual Property is evolving. However, there is problem in searching for the accurate information in the huge scale of data.

Machine Learning (ML) as well as AI has the ability of not only automating the procedure of finding large collection of data but they also make use of as well as store those information that was collected previously in order to enhance efficiency of upcoming searches. We can also make use of AI to give insight into the vertical as well as geographical market. Now let us take an example of an association who is searching to utilize IP in new areas. This association may want to take note of best countries in order to file for the protection. With the help of AI, researches that have taken months to accomplish protection can be handled within a minutes by using AI in an adequate way.

DRIVING INSIGHTS

There are both positive as well as negative aspect of IP. However, one negative point could be abrupt nature of the IP portfolio. If there is enlargement of the size of portfolio then there is every possibility that it would become tough to efficiently look over the portfolio. So, as a consequence of this we can say that firms are not narrow in administering procedures like, renewals but they are also making use of insights to achieve ambitious benefits.

There are many IP professionals who are considering the importance of their patent portfolio. Which patent is most efficient? Which is the country? What is the importance of IP to a business when it’s comparison is made to the amount of renewal? After considering huge amount of data, Artificial Intelligence has been capable to express the positive and negative aspects of IP portfolio of association.

CONCLUSION

It can be concluded that Artificial Intelligence is providing absolute importance to the associations that desires to solve complicated problems. AI also has potential to entitle IP professionals within the management system of IP. Even though the tasks of IP which are conducted on a regular basis is time wanting, yet technologies of AI entitles professionals the time to pay attention on more critical opinions in their portfolio. AI also has ability to help the professionals of IP to develop business insight that can commence new markets, appropriately give importance to the portfolio of IP and lastly, it can also provide excel understanding of what and where the upcoming generation of IP investment will come from.

ABOUT THE AUTHOR

Shivani Bisht is a first year L.L.M student pursuing specialization in Intellectual Property Rights from IIT Kharagpur from Rajiv Gandhi School of Intellectual Property Law.

In Content Picture Credits: thedailystar.net