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Pros
Easily Complete Time Taking Tasks
Due to its ability to accomplish and finish tedious tasks that humans otherwise found tedious, Artificial Intelligence (AI) has played a crucial role in mobile app development. Using careful and intricate automation, AI machines can work for long periods without reducing their ability to produce. Since mundane tasks are removed from the human workload, these apps have more time to handle more significant tasks.
Daily Application
Everyone can benefit from artificial intelligence in their daily lives. AI applications in tourism and travel can detect locations more efficiently through augmented reality. Computer-generated images can be superimposed on the actual worldview of the user, improving their perception of the environment. Using artificial intelligence for spelling correction and predictive writing is also possible. AI helps with identifying people on social media and tagging them when posting photos.
A Lower Error Rate
The importance of AI machines is especially high in fields that require exceptional precision and accuracy. Space exploration is a good example of this. A number incorrectly placed in space exploration could destroy the entire process. There are no margins for error. As a result, AI plays a crucial role in processing complex numbers. AI robots are also designed to aid in space exploration. They are made to withstand the space’s harsh atmosphere. Their acclimatization is such that they are not susceptible to modification, disfigurement, or breakdown by the hostile atmosphere of space.
Experiencing Difficulties
Humans can’t explore some places on earth because they are impossible and difficult. The ocean floor is one such place. Pressure is high on the ocean floor, and this would crush any human presence. Unique materials can be used to make intelligent robots that can withstand the water pressure on the ocean’s floor. Mining can also be facilitated by using intelligent robots. The robots are designed to perform complex tasks without becoming fatigued.
Easy Cross-Platform Integration
Designers and coders are not all the same. In programming, however, cross-platform applications are becoming increasingly popular. App development for mobile devices has become more accessible due to the emergence of platforms for creating apps with only a limited understanding of the process. By creating tools that enable individuals to learn how to create mobile apps on their phones with no real understanding of the technology, and by helping them to learn the methodologies related to the software, artificial intelligence has made all of these possible.
Cons
Insufficiency of Creativity
Developing mobile applications requires a lot of imagination, creativity, and vision. A human can only imagine a design and make it a reality. In spite of its intelligence, artificial intelligence has a limited processing power that is bound by programmable algorithms. While AI can assist with certain sections of blueprint design, it cannot be creative like the human mind.
Job loss
Since AI machines can perform first-level routine tasks, they pose a direct threat to professionals with average skill sets or those who are still learning. Automation of the supervision system can reduce the amount of labor needed in an assembly line role at firms that develop mobile apps.
Cost
Cost is another important factor in determining whether AI is feasible after the lack of creativity and loss of jobs. Cost may be a case-specific factor for companies that develop mobile apps. Mobile app development solutions that use AI tend to be very expensive. AI is limited in vision and requires frequent updates to produce the desired outcome. As a result, maintenance and management costs increase. Thus, companies with massive scale and ambitious projects are more likely to leverage their AI investment than small businesses.
A Lack of Experience Adjustment
Even the best AIs lack the judgment calls associated with humans. Businesses often require judgment calls from owners rather than calculations and algorithms. In Australia, people called Uber to escape the shooting during the 2014 Sydney shooting. It decided not to help those in need but instead hiked the price according to demand and supply economics.
Less Spontaneous and Fairly Naive
A human’s insight depends on a cognitive knowledge process that involves real-time observation and experience. The AI machines used in the development of mobile apps are different and are robotically programmed. Artificial intelligence fails to access and analyze the information as efficiently as humans do, despite storing massive amounts of information.
AI machines cannot adapt their actions and responses to changing needs. In order to make sensible decisions such as judging the efficiency of two people, it lacks the human touch. The human mind is better at making firm decisions based on natural spontaneity and common sense than artificial intelligence.
