Artificial Intelligence by Cindy Abarca Campos and Joan Picado Jiménez

    1. Definition:   Acording to (techtarge, 2023) : Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision. In many areas, Artificial Intelligence helps greatly to substitute and accelerate processes that are normally  carried out by a humans and create greater efficiency. 2.  Characteristics: Acording to (techvidvan, n.d.) : Deep Learning: Is a machine learning technique that teaches computers to do what comes naturally to humans. In the last years the has evolved into the creation of differents sistems to make human tasks easier, for example: autonomus vehicles, automatic text, and more. Acording to    (techtarget., 2023):   Facial Recognition:  Is an artificial intelligence ( AI ) based computer technology used to find and identify human faces in digital images and video. Is used to surveilla

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 purpo

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

Use of Artificial Intelligence for problem solving Artificial Intelligence can be used for problem solving, here are some examples: 1. Customer support As (AiAi, 2022) said: AI in customer support offers faster solutions and 24/7 availability, unlike traditional business models.  Talking about waiting time, AI can help reduce this problem. 2. Automation As (Forbes, 2022) said: One of AI’s most beneficial ways to help leaders is by automating tasks. This can free up time to focus on other essential things 3.  Insights As (Forbes, 2022) said: With AI, businesses can gather large amounts of data and then use that data to make better decisions. This can help, for example, to analyze data of the interaction of people in social media about the product of the company 4. Transportation As (Techeela, 2023) said: AI helps to develop an optimized route to locations for several uses whilst reducing the costs of roads and the number of vehicles. For example, the routes made by Google Maps, Waze

1.Efficiency: Acording to (grupokorporate, n.d.) :   T haks of the AI, In companies where in the future themonotonous, simple and repetitive tasks will be assigned to machines, while humans will be left with diferents skills , which will bring better results in the long run.  2.  Effectiveness: Acording to (nexusintegra, 2023) :  The effectiveness of artificial intelligence has marked a great milestone anywhere in the world, this effectiveness brings different advantages such as Automate processes, Reduces human error, Reduce the times spent on data analysis. According to (gamco, n.d.): Automate Processes: Through the use of new cognitive technologies are key to helping companies optimize their processes, employee productivity, inventory and relevant information.  Thanks to automation, too many errors can be avoided and the effectiveness of the processes is increased. According to (analyticsinsight, 2023): Reduces human error: AI can help prevent sampling errors by auto