In 'AI in Everyday Life,' we explore how AI, through essay generators, chatbots, and virtual assistants, is transforming education, customer service, and productivity in our daily activities
Artificial Intelligence (AI) is everywhere these days. Just about every product you see online claims to be enhanced by it, and every game brags about how advanced theirs is.
However, the most common AI applications might not be what you think. A big deal is made over AI generated art and AI scripts being written, but those use cases are not how most people interact with this technology.
Let’s go over three of the most common AI applications so that you can better assess how most of the population actually uses AI.
When looking at how people use AI in everyday life, you need to consider that the average person isn’t a technical expert. When they use technology, it tends to be for practical purposes. They aren’t interested in investing hours of time to fine tune an attempt at AI art. They’re looking to save time and money.
With this in mind, here are three common AI applications that represent tens of millions of daily interactions:
According to the UNESCO Institute of Statistics, a little bit over 20% of the world’s population is enrolled in school. That’s around 1.6 billion people in 2023.
A certain percentage of those students cheat. Depending on what poll you use and the demographics in question, that figure sits between 50% and 90%.
That means several hundred million students are open to using AI essay writers, if they had access to the technology. And in one form or another, that’s exactly what they do. If polls are to be believed, about 1 in 5 students use AI essay writers and similar AI tools to cheat on assignments.
To give you some idea of how popular the concept is in late 2023, over 50,000 web searches for AI essay writers take place every month in the US alone. Worldwide, that figure goes up to well over 100,000.
Needless to say, this is a hot topic. People are using AI to develop better cheat detection, and the other side is using AI to help randomize some of the structure and even slip in little grammatical errors in order to seem more realistic.
Welcome to the AI essay wars. It’s going to be an interesting next couple of years in academia.
Most major customer facing brands have adopted AI chatbots as part of their customer service efforts. But that doesn’t mean that customers actually want to use them. According to Gartner, only 8% of people will intentionally use a chatbot when other support options are available. And only 25% would use it again if push came to shove. Still, that represents millions of people trying to use AI based support chatbots every day.
One of the reasons why people dislike AI chatbot support is that the language model being used is too generic and the scope is too unfocused. When all a chatbot can do is look things up in the company FAQ and Google for common answers, it’s no wonder that the majority of customers think that they’re useless.
It’s relatively easy to grab an open source chatbot and stick it up on the corporate website. But the bot is unlikely to have properly curated ingestion data and a well tuned language model.
The kinds of chatbots people actually find useful are ones that have been trained with language models specific to their field of expertise. For example, Allganize has several UI apps that are specific to certain verticals (Legal, Finance, IT, Marketing, etc). They use billions of training and implementation parameters to make sure that the answers that the AI gives are industry specific, context driven, and as accurate as possible.
As we move past the generic AI chatbot era and into the realm of bespoke AI apps, customer satisfaction will start to increase. We just need to weather another year or so of badly implemented, generic AI chatbots before companies start to get the message.
To be clear, we’re not talking about flesh-and-blood people who serve as personal assistants to multiple clients from a remote helpdesk. As much as we respect their dedication, we have a much more digital application in mind.
AI virtual assistants are (generally) GPT-based automation tools that are meant to improve productivity. The trend goes far beyond the old voice assistants like Siri and Alexa these days, though there’s no donut that home automation became far more smooth when these IoT appliances were enhanced by AI.
Every mobile device and every computer with a microphone has access to a voice based virtual assistant. In addition, text-based assistants are integrated with tens of thousands of apps to provide contextual help. And all of them, barring the small open source projects that are popular with home-brewed systems, are using AI to improve their performance these days.
Take the Alli HR Assistant for example. It can help users with onboarding, benefits, scheduling leave, and getting feedback in preparation for reviews. That frees up the HR department to focus on interpersonal issues, interviews, and hiring new employees.
Another popular kind of virtual assistant found in the workplace can be found in the realm of project management software. With just a few words or a typed request, the project management AI can fill in most of the fields for new issues, team meeting invitations, and kanban board entries. The top project management apps are fighting tooth and nail to include the next big AI virtual assistant feature in their software.
If you have any questions about the more common use cases for AI and how you can leverage them for your business, contact Allganize for a free consultation. Whether your intention is to harness the trends of student AI usage or create an AI chatbot or Ai virtual assistant that is actually useful and fit for purpose, they can help you out.