5 Evolutionary Trends Predicted for the Future of AI
AI is the technology that is continuously facilitating people and making different tasks easier for us. Siri and Google Assistant are some famous examples of artificial intelligence. But these are just two examples; AI is helping on a much larger scale in many industries like healthcare, insurance, banking, and many others.
In the future, AI will be smarter and will assist people in almost everything. From corporations to private individuals using Cox cable and internet plans, everyone may benefit from AI. In this article, you can see 5 major future AI trends.
Democratized AI is an AI trend aiming toward making this technology available to a wider audience and users. So, limiting its use to research and corporations does not seem appropriate.
AI development requires massive budgets and the expertise of specialists. Also, the current versions could be difficult for normal users to comprehend and use. Following the Democratized AI trend, different companies aim to make this technology more user-friendly for normal users. Normal users are the people who do not know advanced computer knowledge. In other words, the trend is towards distribution and easier access of AI to the public.
Responsible AI is another major future AI trend. According to expectations, AI will be playing an essential part in the lives of people in the future. Responsible AI is a term that covers everything from design and development to making this technology accessible to society more responsibly. It is to make people trust AI. Currently, a lot of people are skeptical of the use of their data by artificial intelligence. The developments on Responsible AI are towards creating ethical boundaries on AI use for everyone.
This trend works towards avoiding the misuse of AI on all levels and following ethical guidelines. A0I development companies claim to make the technology more transparent with the users on all levels. In other words, Responsible AI claims to protect the users’ information and data from exploitation. So, you can expect decentralization and ownership of data on a user level.
Generative AI is a collective term for the technology that can convert one form of input to some other form of content. For example, when a user inserts a text input, generative AI can create an audio file, video, or image. So, basically, it is artificial intelligence that converts one form of content to another by using its algorithm.
MIT says that Generative is one of the most promising advancements of artificial intelligence. There are already some examples of Generative AI like the text to speech features, automatic subtitles, and lighting and color fixes on images. A more advanced form of this technology can allow people to create tons of AI-generated original content in the future.
Composite AI is another form of AI that takes a collection and combination of different AI techniques to achieve the best results. There are so many applications of AI that work on different tasks. A combination that identifies the suitable type of AI and employs it to fasten and automate the processes.
An AI that identifies and utilizes the most suitable technology for a task on its own can serve the users in many ways. It can significantly reduce the time and effort of a human to complete a task. Also, its adaptability to the combination of AI techniques can make things more streamlined for the users.
Edge AI is another form of artificial intelligence that combines edge computing and artificial intelligence. The purpose of this technology is to do all the computing and data storing on the closest servers to help the users. This can give the user better security of data and faster access to it. Where Cloud computing uses centralized storage for data, edge computing stores the data on your closest servers. The latter can give you faster access to data and save bandwidth.
A Quick Recap
Here’s a quick recap of the AI trends in this article:
Democratized AI aims to make artificial intelligence accessible to common non-tech savvy people.
Responsible AI works on creating an environment with more responsible usage by companies and people.
Generative AI is the technology that helps users make AI-generated content of different forms.
Composite AI is the type that identifies and uses the most suitable type of AI for a use case.
Edge AI is an AI that uses edge computing to make data accessible with better security and less latency.