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Artificial Intelligence (AI)

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50 Terms

1

Artificial Intelligence (AI)

The simulation of human intelligence in machines that are programmed to think and learn like humans.

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2

Ethical challenges

Dilemmas and issues that arise in relation to moral principles and values when developing and using AI systems.

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3

Racial discrimination

Unfair treatment or bias based on a person's race or ethnicity.

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4

Machine learning algorithm

A type of AI algorithm that allows machines to learn and make predictions or decisions without being explicitly programmed.

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5

Neural network

A computer system modeled after the human brain that is capable of learning and making decisions based on patterns and connections.

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6

Genetic algorithm

An algorithm inspired by the process of natural selection that uses genetic operators to solve optimization problems.

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7

Decision trees

A flowchart-like structure that represents decisions and their possible consequences.

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8

Bayesian networks

Probabilistic graphical models that represent a set of variables and their dependencies using a directed acyclic graph.

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9

Transparent AI algorithms

Algorithms that are easily understandable and provide clear insights into their decision-making process.

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10

Predictable AI algorithms

Algorithms whose behavior and outcomes can be anticipated or projected accurately.

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11

Robust against manipulation

AI algorithms that are resistant to being altered or influenced in a way that could compromise their intended functionality or fairness.

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12

Social functions

The roles and tasks performed by AI algorithms in society, such as decision-making in banking or governance.

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13

Stare decisis

The legal principle of following precedents and established case law when making decisions in order to ensure consistency and predictability.

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14

Machine vision system

An AI system that uses computer vision to analyze and interpret visual information from the environment.

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15

Responsibility

The obligation or accountability for the consequences of one's actions or the actions of an AI system.

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16

Expert system

An AI system designed to mimic the decision-making abilities of a human expert in a specific domain.

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17

Artificial General Intelligence (AGI)

AI systems that possess the ability to understand, learn, and perform tasks across multiple domains, similar to human intelligence.

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18

Competence

The ability to perform tasks or accomplish goals successfully.

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19

Safety issues

Concerns related to the potential risks and hazards associated with the use and operation of AI systems.

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20

Domain

A specific area or field of knowledge, expertise, or operation.

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21

Human engineers

Individuals who design and create machines, systems, or technologies.

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22

Deep Blue

A chess-playing AI algorithm developed by IBM that defeated world chess champion Garry Kasparov in 1997.

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23

Qualia

The subjective experiences or sensations associated with conscious perception.

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24

Ontogeny

The development or growth of an organism from fertilization to maturity.

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25

Moral status

The ethical consideration and treatment afforded to beings based on their inherent value or rights.

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26

Sentience

The capacity to experience sensations, emotions, or subjective consciousness.

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27

Sapience

Higher-level intelligence characterized by reasoning, problem-solving, and self-awareness.

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28

Borderline cases

Situations or beings that possess attributes that are difficult to categorize or define clearly.

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29

Principle of Substrate Non-Discrimination

The moral principle that the type of material or substrate an entity is made of does not affect its moral status.

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30

Principle of Ontogeny Non-Discrimination

The moral principle that how an entity came into existence does not affect its moral status.

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31

Moral principles

Fundamental guidelines or rules for ethical behavior and decision-making.

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32

Artificial minds

Intellects or cognitive systems created through AI technologies.

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33

Moral agents

Entities capable of making moral choices and being held responsible for their actions.

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34

Feasibility

The practicality or likelihood of a particular technology or solution being successfully implemented.

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35

Implications

The consequences or effects that result from a particular action or decision.

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36

Sentient

Having the capacity for subjective experiences or consciousness.

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37

Same person

The philosophical question of identity and continuity of self.

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38

Disassembled

Taken apart or deconstructed.

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39

Functional characteristics

The essential properties and abilities of a system or entity that enable it to perform its intended tasks.

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40

Neuroscientific theory

The scientific study of the nervous system, including the brain and its functions.

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41

Computational structure

The organization and arrangement of components in a computational system.

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42

Subjective rate of time

The perception or experience of the passage of time, which can vary between different entities or systems.

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43

Silicon

A chemical element commonly used in the production of semiconductors and electronic devices.

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44

Carbon

A chemical element found in organic compounds, including the building blocks of life.

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45

Semi-conductors

Materials with electrical conductivity between that of conductors and insulators.

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46

Neurotransmitters

Chemical substances that transmit signals between nerve cells in the brain.

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47

Moral principles

Fundamental guidelines or rules for ethical behavior and decision-making.

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48

Moral status

The ethical consideration and treatment afforded to beings based on their inherent value or rights.

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49

AI ethics

The discipline focused on addressing the ethical challenges and considerations arising from the development and use of AI systems.

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50

Noncognitive technologies

Technologies that do not possess cognitive abilities or exhibit intelligent behavior.

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