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Questions Bank (1527506 total)
The theory and development of computer systems able to perform tasks normally requiring human intelligence
Artificial Intelligence
100%
Machine Learning
0%
Natural Language Processing
0%
AI System
0%
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All the information is data.
FALSE
50%
TRUE
50%
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Which Intelligence can create an Artificial General Intelligence (Singularity):
String AI
0%
Weak AI
0%
LLM
0%
Strong AI
100%
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According to Epistemic Opacity:
humans would not be able to account for the state of the algorithm and its variables at the time of the halt.
0%
certain algorithmic procedures render a reliable output.
0%
the output of the algorithm is interpretable by humans.
0%
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"An algorithm is fair as long as any protected attributes A are not explicitly used in the decision-making process". Is this the Definition of:
Fairness Through Unawareness
0%
Fairness Through Awareness
0%
Treatment Equality
0%
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_____________ is an entirely different category to data, information, and know-how.
Wisdom
100%
Algorithm
0%
Knowledge
0%
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Ante-Hoc Explainability is:
Model-specific Explainability
50%
Intrinsic Interpretability
50%
Model-agnostic Explainability
0%
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Which feature is NOT a Big Data V's feature:
Variability
0%
Vocality
0%
Velocity
0%
Validity
0%
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In epistemology philosophers distinguish Knowledge-how from:
Information
0%
Wisdom
0%
Data
0%
Knowledge-that
0%
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According to IBM, the following Principle is part of the Responsible AI Explainability Pillar:
Ethics
0%
Fairness
0%
Transparency
50%
Traceability
50%
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