Abstract

The paper analyses how Artificial Intelligence (AI) enabled systems can be brought into the Intellectual Property (IP) ecosystem. It dwells upon the question of AI- IP interface from three perspectives, viz., (a) AI as a technology to manage IPRs, (b) IP rights as an obstacle to the transparency of AI and, (c) patents as well as copyrights as legal systems that can foster AI. The three-step test for obtaining a patent- novelty, inventive step and utility - is looked at through the lens of AI technology. Issues such as patent evergreening, best vs worst embodiment and liability for illegal acts which cannot be traced to human actors are delved into. The article concludes with the need for a uniform treatment of the AI system across the board by bringing in an amendment to TRIPS and the necessity to usher in regulators for adjudication.

Highlights

  • Artificial Intelligence (AI) is the science and engineering of making shrewd machines

  • Daimler-Benz has effectively tried self-driving trucks on open streets, AI innovation has been applied successfully in clinical headways, a film composed by an AI appeared online as of late and AI has even discovered its way into the advocate fraternity

  • Sophia, a social humanoid robot created by Hanson Robotics, a Hong Kong based organization as of late turned into a citizen

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Summary

Introduction

Artificial Intelligence (AI) is the science and engineering of making shrewd machines. The term was officially instituted by [1] who alongside Marvin Lee Minsky coordinated the Dartmouth gathering in 1956 As per his vision, it is the thought of a program, preparing and following up on data to such an extent that the outcome corresponds to the way in which a smart individual would react in response to a comparable input [2] .In other words, AI is the capacity of a machine to impersonate a canny conduct. It is the thought of a program, preparing and following up on data to such an extent that the outcome corresponds to the way in which a smart individual would react in response to a comparable input [2] .In other words, AI is the capacity of a machine to impersonate a canny conduct Such conduct, it should be referenced here, may arise either from a psychological methodology or a computational methodology. Some information technology researchers are of the assessment that solid AI frameworks may develop to geniuses, outperforming people in the manner of thinking

The Turing Test
WIPO Classification
AI vs Machine Learning
Subject matter eligibility
Who can apply for a patent?
The Three Step Test
Copyright and AI
Conclusion
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