Right now, AI is still developing and advancing. The time required to train AI systems is considerably high, which isn’t possible without human intervention. Be it autonomous cars and robots, or sophisticated technologies like natural language processing and image processing, they all rely on human intelligence.
Human Intelligence is the one to create AI in the first place. Therefore, it totally depends upon the modifications made by human intelligence to introduce new features in AI. Therefore, to look into the age-long debate about which is better, human intelligence holds much more credibility for creating methods of Machine Learning.
Presently, automation is the leading AI application that’s penetrating the industry rapidly. In a 2018 report by the WEF, the Swiss Think Tank predicted that by 2022, AI would displace 75 million jobs globally while also creating 133 million new jobs. The new job profiles will demand Data Science specific skills like knowledge of Mathematics & Statistics and ML algorithms, proficiency in programming, data mining, data wrangling, software engineering, and data visualization.
In 2022, WEF has made several agendas of how Artificial Intelligence is the future and it will enormously help us in creating an environment with accurate data. The field has provided feasible job opportunities to people, which has helped them to turn their careers around. The field of Artificial Intelligence is now massive and has been supported immensely with the new branches to learn different components of Data Science. In comparison to Artificial Intelligence Human Intelligence is much more customisable and might not be feasible enough to solve a complicated problem as a whole.
Today, companies using Big Data and Data Science technologies are skilled experts like ML Engineers, Data Scientists, Data Engineers, etc., who know the nitty-gritty of AI/ML. It is the domain knowledge and versatile skillset of such experts that create value out of Big Data.
AI is an invaluable tool shaping the industry, and automation, coupled with intelligent workflow, will be the norm across all sectors in the near future. And while AI has mastered intelligent behavior quite well, it cannot mimic a human’s thought process. So, in this case, AI has been lagging behind when competing as AI vs human brain, which can only solve problems according to the interfaces that are provided in this regard. The human brain is still the mastermind for creating different aspects of simulations and inputs that will be looked after in the AI and help in progressing the concept of Machine Learning.
Since scientists and researchers still don’t know the mystery behind the human thought process, it is highly unlikely that we’ll create machines that can “think” like humans anytime soon. To conclude, the future of AI will be governed mainly by human abilities. It will be complemented by human intelligence and cognizance.