Conversational AI security
In the age of artificial intelligence, we have come
a long way. Alexa, Siri, Google Assistant, Cortana, Chatbot services, other
speech recognition apps, and language translation apps have already made our
work and university life easier. There is a specific name for this technology
and, that is called “conversational AI.”
According to IBM reports, conversational AI is
defined as “technologies, like chatbots or virtual agents, which users can talk
to. They use large volumes of data, machine learning, and natural language
processing to help imitate human interactions, recognizing speech and text
inputs and translating their meanings across various languages.”
Components of conversational AI
Conversational AI works well because it combines
natural language processing with machine learning. Natural Language Processing
and machine learning work together to develop AI algorithms from time to time.
Conversational AI comprises key components that enable it to process,
comprehend, and respond naturally.
●
Machine Learning: Machine learning is a
major subfield of artificial intelligence, a type of data analysis that can
automate the creation of analytical models. With the help of machine learning
algorithms, computers can learn from experiences and failures and make
judgments and decisions well without human intervention.
●
Natural Language Processing: The research
paper published by Elizabeth D. Liddy from Syracuse University defines Natural
language processing as it is a
theoretically motivated range of computational techniques for analyzing and
representing naturally occurring texts at one or more levels of linguistic
analysis to achieve human-like language processing for a range of tasks or
applications.
According to IBM,
natural language processing is the current method of analyzing the language
output with the help of machine learning in conversational AI.
●
Automatic Speech recognition: It is the
technology that humans use to communicate with machines and computers verbally.
We all know that machines can’t understand our language. So that’s why we learn
high-level or low-level programming languages. But everyone can’t, and they
won’t. Therefore, Automatic speech recognition technology has made everything
cooler by creating the ability for humans to communicate with machines so that
machines can understand and fulfill the task.
●
Noise-canceling AI: Imagine you are
answering a phone call received by your friend when traveling by a crowded bus.
Will your friend understand what you are trying to say? He will say, “sorry, I
can’t hear you clearly. Can you speak slowly and loudly?” which means he finds
it hard to understand your voice separately from other background voices. The
same thing happens to machines and computers all the time. In noise-canceling
AI, it helps machines by canceling the background noises and helps to tackle
the main message and run the task.
Benefits of Conversational AI
●
Accuracy: If you are a student who’s
learning a new language at the moment, try translating a long sentence while
you are reading it to the microphone of that app (ex: google translator). There
is very high accuracy in it. Most of the time, it is 100% accurate. Having a
high accuracy can make your work much faster and precise.
●
Cost efficiency: Everything in the
current world is expensive, and so does the salaries of employees. If you just
started your small or middle business, it will be hard for the owner to get
more employees because the business has to gain a decent amount of income to
cover the expenses. In such a situation, it is very convenient to have chatbots
and virtual assistants who can do their part 24*7 hours because they don’t feel
bored, or they don’t need a monthly salary. Yet, they can maintain their
accuracy and precision.
●
Increase sales and customer engagement
without contacting: The pandemic motivated the sellers and customers to involve
in online ordering and purchasing because it makes everything contactless. The
conversational AI tools play a major role here. Human employees just have to
complete the order by referring to the order details provided by virtual
assistants and chatbots.
Conversational AI security
Security is the major challenge that we have to
address in Conversational AI. Many companies promote their verbal assistant
products, such as Amazon Alexa, by introducing those as “the most trusted
friend that we can have.” But can we really trust those high advanced machines?
The answer is NO. Security issues like threats and vulnerabilities are very
much common when it comes to chatbots.
You can buy an Alexa for your grandma as her 80th
birthday present. And you can teach her the way of handling it, even. After
using it for a few days, anyone can understand that these machines are super
capable of doing whatever tasks that we ask them to do. So we get connected
with it, and we automatically forget that this is just a robot. We tend to
share everything with the robot, which is not quite secure because sometimes
these chats can be unprotected and zero passwords used. And if the HTTP
protocol hasn’t been used, it is much easier for the hackers to access the
chatbot messages.
However, suppose you know how to protect your
computers and machines by using various encryption methods (end-to-end
encrypted mode is the best), authentication processes, and using the HTTP
protocol, and following the procedure. In that case, you don’t need to worry
about anything. Having the proper knowledge and education and educating others;
sharing your experiences can make everyone start inspecting their tech devices.
Post a Comment