Chat bot: According to (Oracle, n.d.): At the most basic
level, a chatbot is a computer program that simulates and processes human
conversation, allowing humans to interact with digital devices as if they were
communicating with a real person.
These are commonly applied for customer service to help with little
questions about a service or product.
Data Crunching
According to (Netsuite, 2021)Data crunching is
needed to convert raw data into a form suitable for analysis. It commonly
involves clearing out proprietary formatting and unwanted data, converting
number and date formats and reformatting and structuring the information.
The data commonly comes from Big data collected.
Automated learning:
According to(AutoML, 2023) Automated Machine
Learning provides methods and processes to make Machine Learning available for
non-Machine Learning experts, to improve efficiency of Machine Learning and to
accelerate research on Machine Learning.
Can be used for various purposes like data management, data analysis and
data visualization.
Neural Network
According
(Amazon, n.d.)It is a type of
machine learning process, called deep learning, that uses interconnected nodes in
a layered structure that resembles the human brain. It creates an adaptive system
that computers use to learn from their mistakes
Once
these learning algorithms get better in accuracy they are powerful tools. Can
be used to process and analyze data
Turing
test:
According to (TechTarget, n.d.)The Turing Test is a method of inquiry
in artificial intelligence (AI) for determining whether or not a computer is
capable of thinking like a human being
It is
about interviewing a human and an AI without knowing which is which.
1. Unknown nature of the information According to ( Vadapalli , 2022): One of the most important factors that are a cause of worry for the AI is the unknown nature of how deep learning models predict the output . For example: A student was doing homework and searched for the information in an AI. When the teacher checked the homework, noticed that the information was wrong because the AI got the information from a non-trusted website. 2. Displacing jobs According to ( AI for good, 2018 ) : AI can deepen inequalities by automating routine tasks and displacing jobs. For example, a group of people that worked in customer service for a company were fired because de IT department developed an AI chatbot that can handle customer complaints and basic support. 3. Attacks According to ( MalwareBytes, n.d . ) : Experts say that attackers can use generative AI and large language models to scale attacks at an unseen level of speed and complexity For example: Some users received an ema
AI creating art According (Unesco, 2023) : While AI is a powerful tool for creation, it raises important questions about the future of art, the rights and remuneration of artists and the integrity of the creative value chain. Example: Some students have to do a drawing of their house and the one who made the best drawing is going to win a prize. A kid did his homework with all his effort and it was a nice drawing. But another kid did his homework with an AI and he won the prize. The teacher didn’t notice that the drawing was made by Artificial Intelligence. Plagiarism in content creation According to (Microsoft, 2023) : AI bots can’t create fully original work. They scour a database or the internet (whichever they’re programmed for) to learn how to create content based on what already exists. For example, the song that was created by an Artificial Intelligence simulating Bad Bunny singing it, was more viral than his whole album. Social Manipulation and Misinformation: A
Healthcare: According to (IBM, 2023) : One benefit the use of AI brings to health systems is making gathering and sharing information easier. AI can help providers keep track of patient data more efficiently. Examples: Administrative work, virtual nurse assistants, less invasive surgeries. Sports: According to: (avcontentteam, 2023) With the help of AI algorithms, coaches and players can analyze vast amounts of data about games, opponents, and their own performances. It is also used to evaluate the support that the team is receiving from their fans in social media Security: According to (Forbes, 2023) Enterprises employ SIEM systems that use AI algorithms to analyze and categorize security incidents in real time . AI is constantly learning about new attacks and how they act to prevent them. SIEM ( Security Information And Event Management) Fashion: According to (Ginsberg, 2023) : W ith AI algorithms predicting trends and analyzing customer preferences, fashion businesses can crea
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