GLOSARIO DE TÉRMINOS DE INTELIGENCIA ARTIFICIAL
ADA LOVELACE
Recognized as the first programmer in history for her work on Charles Babbage’s Analytical Engine.
ALAN TURING
British mathematician and father of computer science, famous for his Turing test to evaluate artificial intelligence.
AGI (Artificial General Intelligence)
General artificial intelligence, capable of performing any intellectual task a human can do. It is still a developing field of research.
ALGORITHM
A set of instructions that a computer follows to perform a task.
AI DETECTORS
Tools used to identify whether a text or content has been generated by AI.
AI ETHICS
Refers to the principles and values that should guide the development and use of AI.
AI TUTOR
An AI system that uses machine learning techniques to provide personalized support and guidance to students.
AI WINTERS AND SUMMERS
Periods of optimism and pessimism in the development of AI research.
AlphaFold
Artificial intelligence program that solved the protein folding problem in 2020.
AlphaGo
Artificial intelligence program developed by Google DeepMind that defeated the world Go champion Lee Sedol in 2016.
ANONYMIZATION
The process of removing or modifying personal information from a dataset to protect individuals’ privacy. It is an important measure to ensure the ethical use of AI.
ANI (Artificial Narrow Intelligence)
Artificial intelligence that is narrow or specific, designed to perform a specific task with a high level of precision. An example would be a facial recognition program.
ARTIFICIAL INTELLIGENCE (AI)
The field of computer science that aims to create machines that simulate human intelligence, including learning, reasoning, and problem-solving.
AUGMENTED REALITY (AR)
Technology that overlays digital information onto the real world.
AUTONOMOUS VEHICLES
Vehicles that navigate and operate without human intervention. AI plays a crucial role in their development, including environment perception, movement planning, and vehicle control.
ARTIFICIAL NEURAL NETWORKS
Computational models inspired by the human brain that enable machines to learn from data.
B
BIAS
A tendency or preference in the generation of outcomes by an AI model, which can be unfair or discriminatory.
BIG DATA
Refers to massive and complex datasets that are difficult to process using traditional tools.
BIO-INSPIRED SYSTEMS
Systems that emulate or are inspired by biological processes to solve problems and improve technology. They use patterns and strategies from nature to design algorithms and systems in fields like robotics or AI.
BLACK BOX
General artificial intelligence capable of performing any intellectual task a human can. It is still a developing field of research.
C
CHATBOT ELIZA
A primitive chatbot created in 1966 that simulated a conversation with a psychotherapist. It is an early example of natural language processing (NLP) in AI.
CONVERSATIONAL CHATBOT
A type of chatbot focused on natural and fluid interaction with users, often utilizing natural language processing techniques.
CRITICAL THINKING
The ability to analyze information and make informed decisions.
E
EIDAS2
A European regulation that establishes a framework for electronic identification and trust services.
EXPERT SYSTEMS
Software programs designed to solve complex problems within a specific domain of knowledge. These systems use rules and logic to simulate the knowledge and expertise of a human expert.
D
DATASET
A structured collection of data used to train and evaluate AI models.
DEEPBLUE
A chess supercomputer developed by IBM that defeated world champion Garry Kasparov in 1997.
DEEPFAKE
A deepfake is a manipulation of video or audio that uses AI techniques to create false content that appears real.
DEEPMIND
An artificial intelligence research company founded in 2010 and acquired by Google in 2014. DeepMind has developed some of the world’s most advanced AI systems, such as: AlphaGo, which defeated a world champion Go player, and AlphaFold, which solved the protein-folding problem. These breakthroughs demonstrate the potential of AI in both gaming and scientific research.
DEEP LEARNING
A type of machine learning that uses artificial neural networks to learn from complex data.
DIGITAL SKILLS
The skills persons need to thrive in a digital world.
DISCRIMINATIVE ALGORITHMS
Algorithms that learn to distinguish between different categories of data. They are used in tasks such as facial recognition, image classification, and email filtering.
N
NATURAL LANGUAGE
The language humans use to communicate with each other. It is characterized by being flexible, ambiguous, and creative.
NEUROTECHNOLOGY
An interdisciplinary field that combines engineering and neuroscience to develop devices and systems that interact with the nervous system. Neurotechnology has the potential to revolutionize medicine, education, and other areas.
NATURAL LANGUAGE PROCESSING (NLP)
A field of computer science focused on the interaction between computers and human language.
F
FOUNDATIONAL MODELS
Pre-trained AI models that can be used to develop new applications and services.
G
GAMIFICATION
The use of game techniques in contexts unrelated to gaming to increase engagement and motivation.
GEN AI
The ability of AI to generate new content, such as text, images, or music.
GENERATIVE ALGORITHMS
Algorithms that create new data based on a training dataset. They are used for tasks like text generation, image creation, and musical composition.
H
HALLUCINATIONS
Errors in content generation by an AI model, which can produce false or misleading results.
HACKATHON
An event where participants work in teams to develop technological solutions to specific problems within a limited time frame.
I
ISAAC ASIMOV
Isaac Asimov, science fiction author, coined the «Three Laws of Robotics,» which establish ethical principles for robot behavior. These laws remain relevant in AI development.
ISAAC ASIMOV
Isaac Asimov, science fiction author, coined the «Three Laws of Robotics,» which establish ethical principles for robot behavior. These laws remain relevant in AI development.
J
JOSHUA BROWDER
Founder of DoNotPay, a chatbot that uses AI to help people solve legal and financial problems. It is an example of how AI can be used to democratize access to justice.
K
MACHINE LEARNING
The ability of machines to learn from data and improve their performance without being explicitly programmed.
L
LLM (LARGE LANGUAGE MODEL)
A large-scale language model trained on massive datasets of text and code. It can generate text, translate languages, write different types of creative content, and answer questions in an informative manner.
M
MARKDOWN
A lightweight markup language used to format text in a simple and readable way. It is used to create documents, presentations, and websites.
MOORE'S LAW
An empirical observation stating that the number of transistors in an integrated circuit doubles approximately every two years. This trend has driven the exponential growth in the processing power of computers.
METAVERSE
A persistent 3D virtual space where people can interact with each other and digital objects. AI plays a key role in developing the metaverse, including creating realistic avatars, generating virtual worlds, and facilitating social interactions.
O
OPENAI
An artificial intelligence research lab aimed at promoting and developing friendly AI.
P
PATTERN RECOGNITION
A field of artificial intelligence dedicated to identifying patterns in data. It is used in a wide range of applications, such as facial recognition, image analysis, and natural language processing.
PROBLEM-SOLVING
The ability to identify and solve problems creatively.
PHYTON
A popular programming language used for developing AI applications, among other things.
PERSONALIZATION
The ability to adapt a product or service to the individual needs of each user.
PROMPT
An instruction or phrase given to an LLM to guide it in text generation. A well-written prompt can help achieve more specific and relevant results.
Q
QUANTUM COMPUTING
A field of computer science that uses the principles of quantum mechanics to perform calculations. It has the potential to be much faster and more powerful than traditional computing.
R
ROBOTICS
An engineering field focused on the design, construction, operation, and application of robots.
S
SAM ALTMAN
CEO of OpenAI, a nonprofit research organization that promotes the safe and beneficial development of AI. He is an influential leader in the AI community.
STRONG AI
A hypothetical type of AI that would be capable of understanding and reasoning like a human.
SINGULARITY
A hypothetical moment in the future when technological growth becomes uncontrollable and irreversible, leading to unpredictable changes in human civilization.
STABLE DIFFUSION
An open-source AI model capable of generating realistic images from textual descriptions. It is a powerful tool for visual content creation and exploring creativity.
STRONG AI
A hypothetical type of AI that would be capable of understanding and reasoning like a human.
SUPERAGI
Artificial intelligence that surpasses human intelligence in all aspects. It is a hypothetical concept that has not yet been achieved.
T
TENSORFLOW
An open-source software framework for numerical computation using data flow graphs. It is used for developing machine learning and artificial intelligence applications.
TEXT SPINNING
A technique used to generate new content from existing content, often with deceptive purposes.
TRANSHUMANISM
A cultural and intellectual movement that seeks to enhance the human condition through the use of technology.
TURING TEST
A test designed to evaluate a machine’s ability to exhibit intelligent behavior equivalent to or indistinguishable from that of a human.
U
MACHINE LEARNING
The ability of machines to learn from data and improve their performance without being explicitly programmed.
V
VIRTUAL ASSISTANTS
Software programs that can assist users with tasks such as scheduling appointments, searching for information, or making purchases.
VIRTUAL REALITY (VR)
Technology that creates a virtual environment where users can interact.
X
MACHINE LEARNING
The ability of machines to learn from data and improve their performance without being explicitly programmed.
Y
MACHINE LEARNING
The ability of machines to learn from data and improve their performance without being explicitly programmed.
Z
MACHINE LEARNING
The ability of machines to learn from data and improve their performance without being explicitly programmed.