Exam Questions & Correct Answers
Quiz_________________?
Accountability -
Answer✅
The obligation and responsibility of the creators, operators and regulators of an AI system
to ensure the system operates in a manner that is ethical, fair, transparent and compliant
with applicable rules and regulations (see fairness and transparency). Accountability ensures
the actions, decisions and outcomes of an AI system can be traced back to the entity
responsible for it
Quiz_________________?
Active Learning -
Answer✅
A subfield of AI and machine learning where an algorithm can select some of the data it
learns from. Instead of learning from all the data it is given, an active learning model requests
additional data points that will help it learn the best. → Also called query learning.
Quiz_________________?
Adversarial Machine Learning -
Answer✅
A machine learning technique that raises a safety and security risk to the model and can be
seen as an attack. These attacks can be instigated by manipulating the model, such as by
introducing malicious or deceptive input data. Such attacks can cause the model to
malfunction and generate incorrect or unsafe outputs, which can have significant impacts.
1
,For example, manipulating the inputs of a self-driving car may fool the model to perceive a
red light as a green one, adversely impacting road safety.
Quiz_________________?
AI governance -
Answer✅
A system of laws, policies, frameworks, practices and processes at international, national
and organizational levels. AI governance helps various stakeholders implement, manage and
oversee the use of AI technology. It also helps manage associated risks to ensure AI aligns
with stakeholders' objectives, is developed and used responsibly and ethically, and complies
with applicable requirements.
Quiz_________________?
Algorithm -
Answer✅
A procedure or set of instructions and rules designed to perform a specific task or solve a
particular problem, using a computer.
Quiz_________________?
AGI -
Answer✅
Artificial General Intelligence
AI that is considered to have human-level intelligence and strong generalization capability to
achieve goals and carry out a variety of tasks in different contexts and environments. AGI
still remains a theoretical field of research. It is contrasted with "narrow" AI, which is used
for specific tasks or problems.
.beyond reach right now
.experts expect AGI systems to have strong generalization abilities, the ability to think, learn
and perform complex tasks, and achieve goals in different contexts and environments
Quiz_________________?
2
,Artificial Intelligence -
Answer✅
Artificial intelligence is a broad term used to describe an engineered system that uses
various computational techniques to perform or automate tasks. This may include
techniques, such as machine learning, where machines learn from experience, adjusting to
new input data and potentially performing tasks previously done by humans. More
specifically, it is a field of computer science dedicated to simulating intelligent behavior in
computers. It may include automated decision-making. → Acronym: AI
.has hallmarks of human intelligence: ability to think creatively; can consider various
possibilities; & keep a goal in mind while making short term decisions,
.common elements in a definition of AI:
1. Technology: use of technology and specified objectives for the technology to achieve
2. Autonomy: level of autonomy by the technology to achieve defined objectives
3. Human Involvement: need for human input to train the technology and identify objectives
for it to follow
4. Output: technology produces output - performing tasks, solving problems, producing
content
Quiz_________________?
Automated Decision Making -
Answer✅
The process of making a decision by technological means without human involvement,
either in whole or in part.
Quiz_________________?
Bias -
Answer✅
There are several types of bias within the AI field. Computational bias is a systematic error
or deviation from the true value of a prediction that originates from a model's assumptions
or the input data itself. Cognitive bias refers to inaccurate individual judgment or distorted
3
, thinking, while societal bias leads to systemic prejudice, favoritism and/or discrimination in
favor of or against an individual or group. Bias can impact outcomes and pose a risk to
individual rights and liberties.
Quiz_________________?
Bootstrap Aggregating -
Answer✅
A machine learning method that aggregates multiple versions of a model (see machine
learning model) trained on random subsets of a dataset. This method aims to make a model
more stable and accurate. → Sometimes referred to as bagging
Quiz_________________?
Chatbot -
Answer✅
A form of AI designed to simulate human-like conversations and interactions that uses
natural language processing and deep learning to understand and respond to text or other
media. Because chatbots are often used for customer service and other personal help
applications, chatbots often ingest users' personal information.
Quiz_________________?
Classification Model -
Answer✅
A type of model (see machine learning model) used in machine learning that is designed to
take input data and sort it into different categories or classes. → Sometimes referred to as
classifiers
Quiz_________________?
Clustering -
Answer✅
An unsupervised machine learning method where patterns in the data are identified and
evaluated, and data points are grouped accordingly into clusters based on their similarity. →
Sometimes referred to as clustering algorithms.
4
Quiz_________________?
Accountability -
Answer✅
The obligation and responsibility of the creators, operators and regulators of an AI system
to ensure the system operates in a manner that is ethical, fair, transparent and compliant
with applicable rules and regulations (see fairness and transparency). Accountability ensures
the actions, decisions and outcomes of an AI system can be traced back to the entity
responsible for it
Quiz_________________?
Active Learning -
Answer✅
A subfield of AI and machine learning where an algorithm can select some of the data it
learns from. Instead of learning from all the data it is given, an active learning model requests
additional data points that will help it learn the best. → Also called query learning.
Quiz_________________?
Adversarial Machine Learning -
Answer✅
A machine learning technique that raises a safety and security risk to the model and can be
seen as an attack. These attacks can be instigated by manipulating the model, such as by
introducing malicious or deceptive input data. Such attacks can cause the model to
malfunction and generate incorrect or unsafe outputs, which can have significant impacts.
1
,For example, manipulating the inputs of a self-driving car may fool the model to perceive a
red light as a green one, adversely impacting road safety.
Quiz_________________?
AI governance -
Answer✅
A system of laws, policies, frameworks, practices and processes at international, national
and organizational levels. AI governance helps various stakeholders implement, manage and
oversee the use of AI technology. It also helps manage associated risks to ensure AI aligns
with stakeholders' objectives, is developed and used responsibly and ethically, and complies
with applicable requirements.
Quiz_________________?
Algorithm -
Answer✅
A procedure or set of instructions and rules designed to perform a specific task or solve a
particular problem, using a computer.
Quiz_________________?
AGI -
Answer✅
Artificial General Intelligence
AI that is considered to have human-level intelligence and strong generalization capability to
achieve goals and carry out a variety of tasks in different contexts and environments. AGI
still remains a theoretical field of research. It is contrasted with "narrow" AI, which is used
for specific tasks or problems.
.beyond reach right now
.experts expect AGI systems to have strong generalization abilities, the ability to think, learn
and perform complex tasks, and achieve goals in different contexts and environments
Quiz_________________?
2
,Artificial Intelligence -
Answer✅
Artificial intelligence is a broad term used to describe an engineered system that uses
various computational techniques to perform or automate tasks. This may include
techniques, such as machine learning, where machines learn from experience, adjusting to
new input data and potentially performing tasks previously done by humans. More
specifically, it is a field of computer science dedicated to simulating intelligent behavior in
computers. It may include automated decision-making. → Acronym: AI
.has hallmarks of human intelligence: ability to think creatively; can consider various
possibilities; & keep a goal in mind while making short term decisions,
.common elements in a definition of AI:
1. Technology: use of technology and specified objectives for the technology to achieve
2. Autonomy: level of autonomy by the technology to achieve defined objectives
3. Human Involvement: need for human input to train the technology and identify objectives
for it to follow
4. Output: technology produces output - performing tasks, solving problems, producing
content
Quiz_________________?
Automated Decision Making -
Answer✅
The process of making a decision by technological means without human involvement,
either in whole or in part.
Quiz_________________?
Bias -
Answer✅
There are several types of bias within the AI field. Computational bias is a systematic error
or deviation from the true value of a prediction that originates from a model's assumptions
or the input data itself. Cognitive bias refers to inaccurate individual judgment or distorted
3
, thinking, while societal bias leads to systemic prejudice, favoritism and/or discrimination in
favor of or against an individual or group. Bias can impact outcomes and pose a risk to
individual rights and liberties.
Quiz_________________?
Bootstrap Aggregating -
Answer✅
A machine learning method that aggregates multiple versions of a model (see machine
learning model) trained on random subsets of a dataset. This method aims to make a model
more stable and accurate. → Sometimes referred to as bagging
Quiz_________________?
Chatbot -
Answer✅
A form of AI designed to simulate human-like conversations and interactions that uses
natural language processing and deep learning to understand and respond to text or other
media. Because chatbots are often used for customer service and other personal help
applications, chatbots often ingest users' personal information.
Quiz_________________?
Classification Model -
Answer✅
A type of model (see machine learning model) used in machine learning that is designed to
take input data and sort it into different categories or classes. → Sometimes referred to as
classifiers
Quiz_________________?
Clustering -
Answer✅
An unsupervised machine learning method where patterns in the data are identified and
evaluated, and data points are grouped accordingly into clusters based on their similarity. →
Sometimes referred to as clustering algorithms.
4
