Machine Learning Ethics

Description: This quiz is designed to evaluate your understanding of the ethical implications of Machine Learning.
Number of Questions: 15
Created by:
Tags: machine learning ethics artificial intelligence
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What is the primary ethical concern associated with Machine Learning?

  1. Accuracy and Performance

  2. Bias and Discrimination

  3. Privacy and Data Security

  4. Transparency and Accountability


Correct Option: B
Explanation:

Machine Learning algorithms can inherit and amplify biases from the data they are trained on, leading to unfair or discriminatory outcomes.

Which of the following is NOT a potential source of bias in Machine Learning?

  1. Historical Data

  2. Human Input

  3. Algorithmic Design

  4. Randomness


Correct Option: D
Explanation:

Randomness is not a source of bias, as it introduces unpredictable variation rather than systematic patterns.

What is the term used to describe the phenomenon where Machine Learning algorithms make predictions based on correlations rather than causal relationships?

  1. Overfitting

  2. Underfitting

  3. Confirmation Bias

  4. Spurious Correlation


Correct Option: D
Explanation:

Spurious Correlation occurs when two variables are correlated but not causally related, leading to incorrect inferences.

Which ethical principle emphasizes the need for Machine Learning systems to be transparent and explainable?

  1. Autonomy

  2. Beneficence

  3. Non-Maleficence

  4. Transparency


Correct Option: D
Explanation:

Transparency requires Machine Learning systems to be understandable and interpretable by humans.

What is the term used to describe the practice of using Machine Learning algorithms to make decisions that have a significant impact on individuals or society?

  1. Algorithmic Decision-Making

  2. Automated Decision-Making

  3. Machine Learning Decision-Making

  4. Artificial Intelligence Decision-Making


Correct Option: A
Explanation:

Algorithmic Decision-Making refers to the use of algorithms to make consequential decisions.

Which ethical principle emphasizes the need for Machine Learning systems to be accountable for their actions?

  1. Autonomy

  2. Beneficence

  3. Accountability

  4. Non-Maleficence


Correct Option: C
Explanation:

Accountability requires Machine Learning systems to be responsible for their decisions and actions.

What is the term used to describe the practice of using Machine Learning algorithms to identify and target individuals based on their personal data?

  1. Profiling

  2. Targeting

  3. Segmentation

  4. Personalization


Correct Option: A
Explanation:

Profiling involves creating a detailed description of an individual based on their personal data.

Which ethical principle emphasizes the need for Machine Learning systems to respect the privacy and autonomy of individuals?

  1. Autonomy

  2. Beneficence

  3. Non-Maleficence

  4. Privacy


Correct Option: D
Explanation:

Privacy requires Machine Learning systems to protect the personal data of individuals.

What is the term used to describe the phenomenon where Machine Learning algorithms make decisions based on incomplete or inaccurate data?

  1. Overfitting

  2. Underfitting

  3. Data Bias

  4. Garbage In, Garbage Out


Correct Option: D
Explanation:

Garbage In, Garbage Out refers to the principle that the quality of the output of a Machine Learning algorithm is limited by the quality of the input data.

Which ethical principle emphasizes the need for Machine Learning systems to be used for beneficial purposes and to avoid harm?

  1. Autonomy

  2. Beneficence

  3. Non-Maleficence

  4. Justice


Correct Option: B
Explanation:

Beneficence requires Machine Learning systems to be used to promote human well-being and avoid harm.

What is the term used to describe the practice of using Machine Learning algorithms to make predictions about individuals or groups based on their past behavior or characteristics?

  1. Profiling

  2. Targeting

  3. Segmentation

  4. Predictive Analytics


Correct Option: D
Explanation:

Predictive Analytics involves using Machine Learning algorithms to make predictions about future events or outcomes.

Which ethical principle emphasizes the need for Machine Learning systems to be fair and just to all individuals?

  1. Autonomy

  2. Beneficence

  3. Non-Maleficence

  4. Justice


Correct Option: D
Explanation:

Justice requires Machine Learning systems to be fair and equitable to all individuals, regardless of their race, gender, religion, or other characteristics.

What is the term used to describe the phenomenon where Machine Learning algorithms make decisions based on limited or biased data, leading to unfair or discriminatory outcomes?

  1. Overfitting

  2. Underfitting

  3. Data Bias

  4. Algorithmic Bias


Correct Option: D
Explanation:

Algorithmic Bias refers to the systematic errors introduced into Machine Learning algorithms due to biased data or design choices.

Which ethical principle emphasizes the need for Machine Learning systems to be used in a responsible and ethical manner?

  1. Autonomy

  2. Beneficence

  3. Non-Maleficence

  4. Responsibility


Correct Option: D
Explanation:

Responsibility requires Machine Learning systems to be used in a way that respects human values and promotes human well-being.

What is the term used to describe the practice of using Machine Learning algorithms to automate tasks that were previously performed by humans?

  1. Automation

  2. Robotization

  3. Cybernation

  4. Mechanization


Correct Option: A
Explanation:

Automation refers to the use of Machine Learning algorithms to perform tasks without human intervention.

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