Collaborative intelligence and intellectual property: Humans and humanoids in the light of health care system

Abstract

Our intelligence is what make us humans unique and Artificial Intelligence is an extension of that quality which makes them as humanoids. By 2029, an estimation of 95% of human interactions will be supported by Artificial Intelligence technologies. Humans have dynamic existence in the world, an existence which excesses in knowledge, analysis, expression, ideas and many more. With the rapid development of computer science and data technological dependence, it has been observed that Robots and Artificial Intelligence are making their way to get fit into the human world as a Humanoid Versions. Subsequently, they are even trying to support the present Health Care structure across the world and wanted to be present among the Doctors, Nurses, Hospitals and many other to solve and assist in the medical errands. Currently, both patient and health professionals are based on human interactions which forms the natural foundation of health care. Field of Health-care is data-intensive which leads it to perform complex tasks and compare and analyse huge volume of data and try to classify it. This paper gives an immense dimension to the Collaborative Intelligence that means involvement of both Human and Artificial mankind in the Health sector. So, when new inventions and discoveries are coming up, we know that Intellectual Property comes into the picturesque as it protects and give some bundle of monopolistic rights to the true owner or inventor. This paper gives comprehensive analysis to the Human Intelligence vs. Artificial Intelligence in the context of legality and acceptance from the lens of the society. This paper also highlights about mapping the Artificial Intelligence in the health care sector in regards with an outlook of Intellectual Property subject-matter. This paper also reflects an idea about Technology transfer and Know-How move towards AI-based medical machines and technologies from the Indian health care perspective. This paper concludes with the necessary improvements in AI or Human Assisting Machines as well.