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Welcome to the largest Artificial Intelligence Terms and Definitions in the web! Our dictionary extends its scope day by day. Enjoy!
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Human Values
Human Values in Data Science refers to the ethical considerations and principles that guide the collection, analysis, interpretation, and presentation of data. It emphasizes the importance of respecting human rights, privacy, and dignity in all data science activities. This concept is crucial in the... Read More >>
Ethical AI Design
Ethical AI Design refers to the practice of creating artificial intelligence (AI) systems that adhere to ethical principles and values. It involves the consideration of moral implications and potential societal impacts during the design and implementation of AI systems. This includes ensuring that A... Read More >>
Articles
Logistic Function
In the context of Data Science, a Logistic Function, also known as the logistic sigmoid function, is a mathematical function used in various forms of logistic regression models. It is an essential component in the field of machine learning, particularly in the development of binary classification mo... Read More >>
Weak AI
Weak Artificial Intelligence (AI), also known as Narrow AI, refers to a system designed to perform a specific task, such as voice recognition or driving a car. These systems operate under a limited set of constraints and are focused on performing single tasks very efficiently. Unlike Strong AI, Weak... Read More >>
Value Alignment
In the context of Data Science and Artificial Intelligence, Value Alignment refers to the process of ensuring that an AI system's behaviors and decisions are in line with the values, ethics, and objectives of its human users or creators. This is a critical aspect of AI safety and ethical AI design. ... Read More >>
Today's Picks
Metabolic Processes
Metabolic processes refer to the chemical reactions that occur within a living organism to maintain life. These processes involve the conversion of nutrients into energy and the synthesis of new molecules necessary for growth and repair. In data science, metabolic processes can be studied through th... Read More >>
Population Parameter
In statistics, a population parameter is a numerical value that describes a characteristic of a population. It is a fixed value that is usually unknown and estimated from a sample. Population parameters are important in data science because they help us make inferences about a population based on a ... Read More >>
Factor Analysis
Factor Analysis is a statistical method used to identify underlying factors or latent variables that explain the correlations among a set of observed variables. It is a technique used to reduce the complexity of a dataset by identifying the underlying structure of the data. Factor Analysis is common... Read More >>
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News Source: CNN on 2025-01-11
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News Source: ABC News on 2025-01-11
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