One of the most sought-after and widely used applications of generative intelligence in today’s parlance is through mobile app development and automation. In simple words, people want AI to take over when it comes to mundane tasks or a quick fix for things like removing a certain object from an image or summarizing an email.
While there are some mixed signals and feedback regarding how useful this will be upon implementation, the point remains that the idea has planted itself deep in the minds of several industry professionals who are trying to implement this. This article covers all the ways in which AI in mobile apps can be useful while also exploring some of the major drawbacks that come with it.
How can AI help in mobile app development?
We can sort the uses of AI in mobile app development into a few key areas:
1. User support
It is safe to say that competition among mobile apps is pretty cutthroat. So, people definitely value a smoother user experience and assistance when it comes to using their phones and applications. Having several agents on call 24/7 can be quite tedious, especially when it comes to repetitive solutions and queries. This one-way artificial intelligence chat support can prove to be useful.
See also: Exploring the Rise of Random Video Chat Apps in the Digital Age
2. Detecting objects
One of the biggest applications of AI technology in mobile phone apps is object detection. This includes your camera app using accurate image recognition technology to locate and identify objects, people, locations, etc., and potentially modify them for you according to instructions.
3. Personalized user experience
Another application of machine learning and automation in mobile applications is how they can curate and personalize user experience.
What are some of the drawbacks of having AI in mobile applications?
Security and privacy are some of the biggest concerns when it comes to the use of generative machine learning for mobile apps. This is because the process of machine learning needs constant data scraping for it to work.
There are also several ethical concerns regarding the implementation of artificial intelligence, especially surrounding the devaluation of human labor, unauthorized data scraping, and the immense amount of environmental degradation that happens in the process.
Hallucinations are another issue that frequently crop up during the use of generative machine learning systems. Since a computer cannot make intuitive decisions, it often resorts to arbitrarily putting information together. Another concern with generative artificial intelligence is the presence of bias that severely hinders output.
Wrapping Up
That brings us close to some of the applications of machine learning and artificial intelligence in the areas of mobile app development. Right now, we are aware that the implementation of this is already in full swing. However, we are yet to see how prologue sausage will pan out. While there are certainly useful applications., there are also areas that need our caution and vigilance.
