An AI chatbot is a form of virtual assistance that leverages the technology of artificial intelligence. Chatbots online can perform various tasks depending on the platform in which they are implemented. They are mostly available to consumers who utilize mobile applications and other smart devices. 

 Businesses have learned to take advantage of this technology by having chatbots improve customer service, streamline operations, support employees, and manage communications. Chatbots have long existed before being amped up by AI technology. With conversational AI factored into chatbots, they can now remember past customer interactions to be used in future conversations. Ultimately, with chatbots are more efficient and can handle even more complex tasks. They can also make a seamless transition from computer conversations to referring customers to a human agent. 

 In this blog, you’ll learn more about what is a chatbot, which platforms primarily use it, common use cases, and more!

The AI Purity blog is filled with information about how AI works and more. Don’t forget to check out our other blogs here. 

What Is A Chatbot?

When people think of chatbots, immediately they think of communication format primarily done through devices, but what are chatbots? According to IBM, a chatbot is a computer program that is designed to emulate human conversations. Not all chatbots incorporate AI technology, but today, modern chatbots utilize conversational AI techniques, natural language processing to be specific, to help chatbots better comprehend user questions and make better automated responses. 

In the past, chatbot conversations were limited. Generative AI-powered chatbots on the other hand have more enhanced capabilities. Where traditional chatbots had only pre-programmed responses, AI-powered chatbots adapt to a user’s conversational style. It can handle complex queries, and even use empathy when generating responses. Because they are based on large language models, similar to Chat GPT, these chatbots can generate human-like responses, and generate images, text, and sound. 

 With AI, chatbot conversations include recognizing, summarizing, translating, predicting, and creating content without human intervention. Businesses have learned to use the significant potential of large language model-based chatbots, expecting them to be able to directly interact with customers. When business customers talk to AI this way, they can provided with self-service solutions that further accelerate the development of an AI chatbot bettering user experience.

Chatbots are possible with machine learning technology. Read our past blog on Machine Learning Applied In The Real World for more information. 

Is Chat GPT The Best AI Chatbot?

The large language model that uses natural language processing to generate responses, Chat GPT, is a form of generative AI. People can talk to AI using this platform so is it the best AI chatbot out there? What are chatbots and what are their main differences with Chat GPT? 

Chat GPT was designed to mimic human-like conversations just like any chatbot would, but the main difference is its ability to generate text like poems, stories, blogs, and the like on top of being able to assist in various tasks. There are five main differences though in the capability and use-case between Chat GPT and a regular chatbot. 

1. Purpose and Application
   

   On the other hand, Chat GPT is considered a ‘conversational AI’ model that is built for more complex or creative tasks outside customer service. Its similarity with an AI chatbot lies in its ability to reply to the user but because of its generative AI technology, it is way more adept at complex tasks like generating text.
   

   The best AI chatbot would ideally be able to handle customer interactions the way a human agent would. Of course, while there’s no substitute for the latter, chatbot conversations that employ machine-learning techniques would still be helpful. These types of chatbots are integrated into already existing platforms like Intercom or Zendesk, unlike Chat GPT which is a standalone platform. Chatbots in this sense are made to handle strictly customer service tasks. 

2. User Experience

   Chat GPT comes out as a better platform when it comes to users looking for natural and personalized responses. Because Chat GPT leverages machine learning and artificial intelligence, it has a higher satisfaction from users as it can tailor its answers based on individual needs and situations. This platform is best used for creative and complex problem-solving because it can offer a near-human-like experience. 
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   When it comes to user experience, chatbots online are often limited when it comes to nuanced and complex queries because they provide predefined responses. Because of their limitations, using them can often lead to customer dissatisfaction and frustration despite being made to enhance business efficiency. These chatbots can only personalize interactions at the most basic level which means they can’t always fully meet the expectations of users especially when users are no longer just making basic queries. 

3. Automation and Task Handling

   Chat GPT has a broader range of capabilities when it comes to automation and task handling. It goes beyond simple and pre-programmed interactions and can “converse” with its users on complex topics. Because it’s generative AI, it can predict user preferences, and behavioral patterns, which makes for better, more proactive, and data-driven decisions.

   Chatbots are capable when it comes to automation and task handling as long as it’s for specific and structured tasks and interactions. Despite requiring pre-programmed responses, it can also analyze past interactions so it can provide users with data-driven insights and answers. Ultimately, as long as the focus is improving customer engagements and business processes, these chatbots are dependable. 

4. Business Tasks Performance

   Online chatbots are reliable for customer service tasks which can contribute to the efficiency of businesses. In this area, online chatbots have an edge in performing solely business tasks.
   
   Chat GPT may be more sophisticated and provide a more conversational experience but when it comes to performance in business tasks, it may underperform.

5. Future Potential
   

   With consistent development, chatbots are expected to become the primary communication tool of customer service channels by 2027 according to Gartner, Inc. 

   Chat GPT is predicted to also continue to evolve especially in its applications and in enhancing customer experience by providing more advanced and personalized interactions.
   

   AI Purity was built to detect content from AI generative chatbots like Chat GPT. AI Purity’s AI Technology allows for seamless API integration and reliable AI text detection.

    

According to a study from Teesside University International Business School, incorporating AI generative chatbots in educational institutions can significantly transform both teaching and learning. However, there are also implications ethically that should be addressed. 

A primary issue that researchers found is the handling of sensitive information, especially student data. There are privacy challenges when implementing this technology and before that becomes possible, it should adhere to strict data protection regulations. 

There’s also the risk of “algorithmic bias” within chatbots. These biases perpetuate societal biases and inequalities which can undermine the fairness being cultivated within educational settings. Learn more about algorithmic bias and why it’s important to develop more inclusive AI models on our latest AI Purity Podcast episode featuring Dr. Vered Shwartz. 

As much as educational institutions want to instill autonomy within their students, there is also the risk of having them over-reliant with AI once the technology is introduced and further integrated into curriculums, teaching methods, and self-study. At that point, the so-called “self-efficacy” of students becomes negatively impacted. 

Another big ethical impact that has institutions discussing possible AI regulations is the threat of AI-generated plagiarism threatening academic integrity. The article’s author does lay out some comprehensive measures to mitigate these threats which include creating policies and even using plagiarism detection techniques. 

The bottom line is that there is equal work for all affected sectors in education, AI development, and even government to make sure the benefits of AI generative chatbots can be leveraged efficiently but also ethically.

In another episode of The AI Purity, we discuss with Dr. William Wei whether AI Detector Tools like AI Purity would be needed and how educators are currently discussing creating policies on how to safely integrate AI. 

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