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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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