1. Fill in the blank: A preference in favor of or against a person, group of people, or thing is called _____. It is an error in data analytics that can systematically skew results in a certain direction.
Answers
· data collection
· data interoperability
· data bias
· data anonymization
Explanation: You are searching for the concept known as prejudice. A systematic preference in favor of or against an individual, group of individuals, or entity is what is meant when talking about bias in the context of data analytics. It may bias findings in a certain way, leading to inaccuracies and affecting the validity of conclusions formed from the data, which can lead to mistakes in analysis. It is very necessary to deal with bias and reduce it to a minimum in order to acquire trustworthy and objective insights from data.
2. Which type of bias is the tendency to always construe ambiguous situations in a positive or negative way?
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· Observer
· Confirmation
· Sampling
· Interpretation
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· Biased
· Inaccurate
· Vetted
· Incomplete
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· ethics
· privacy
· credibility
· anonymization
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· The organization that invests time and money collecting, processing, and analyzing the data
· The government that passes data-protection legislation
· The individual who originally generates the data
· The law enforcement agencies that enforce data protection laws
Answers
· True
· False
Before accessing sensitive personal information about an employee, such as a credit report, an employer is obliged to get the employee's permission in many different jurisdictions. Even if a person is employed by a firm, their right to privacy with regard to some aspects of their personal information is normally protected, and illegal access to sensitive data may result in legal repercussions for the employer.
7. What is the process of protecting people’s private or sensitive data by eliminating identifying information?
Answers
· Data governance
· Data design
· Data ethics
· Data anonymization
Answers
· True
· False
It is common for privacy laws and regulations to protect personal information; thus, it would be a breach of private rights to allow unrestricted access to such data without first obtaining authorization or putting in place appropriate precautions. Open data efforts often concentrate on non-personal, non-sensitive information that may be shared for the benefit of the general public. Examples of this kind of information include government datasets, research results, and public records.
It is of the utmost importance to make a clear distinction between the ideas of open data and the preservation of personal privacy. However, privacy issues must be observed, and personal information should be treated with care and in compliance with current laws and ethical standards. Open data advocates for openness and accessibility of specific kinds of information.
Answer
· Yes
· No
It is possible for biased survey data to lead to erroneous or insufficient conclusions, given that the experiences of groups who were not included in the survey may be markedly different from those of those that were included in the study. It is essential to take into consideration the diversity of the population and to include persons with a variety of characteristics, including those with disabilities, in the survey in order to reduce the likelihood of bias and to assure a sample that is more representative of the whole community. This contributes to a fuller and more inclusive knowledge of the topic at hand, which may then be used in other contexts.
Answer
· Interpretation bias
· Observer bias
· Confirmation bias
· Sampling bias
In this particular instance, the institution is omitting a subgroup of student-athletes who do not have scholarships since the survey is only being given to student-athletes who have scholarships. This exclusion may give rise to prejudice due to the fact that the experiences and points of view of student-athletes who do not get scholarships may be distinct from those of student-athletes who do receive scholarships. The survey should contain a representative sample that takes into consideration a variety of various groups within the population so that a more in-depth picture of the entire student-athlete experience can be obtained.
11. An individual who provides their data has the right to know and understand all of the data-processing activities and algorithms used on that data. This is called ownership.
Answer
· True
· False
On the other hand, "ownership of data" often refers to legal or contractual rights governing control and use of the data rather than the right to know how it is processed. This is because legal and contractual rights tend to be more restrictive than rights to access the raw data. The determination of who owns what data may be difficult and is often governed by many legal frameworks and agreements.
In a nutshell, the right to know and comprehend actions related to data processing is a component of data subject rights and transparency rather than ownership. It underlines the significance of people being aware of how the handling of their personal data occurs and having some level of control over that handling.
Answer
· Data openness
· Data ownership
· Data consent
· Data privacy
Answer
· A website charges a fee to access a database
· An analyst removes all personally identifiable information from a database
· Different databases use common formats and terminology
· A company restricts the use of a database to its own employees
Answer
· A researcher who surveys a sample group that is representative of the population
· A scholar who only reads sources that support their argument
· A dancing competition judge who is a close friend of the dancer who wins the competition
· A daycare that won’t hire men for childcare positions
Answer
· Comprehensive
· Cited
· Current
· Consequential
Answer
· Privacy
· Currency
· Ownership
· Consent
This transparency principle guarantees that people are aware of how their personal data is being used and enables them to make educated choices on whether or not they agree to such uses of their data. It helps contribute to creating trust between data controllers (organizations managing the data) and data subjects (people supplying the data) in the ethical treatment of personal information. Data controllers are organizations that handle the data, and data subjects are individuals who provide the data.
Answer
· True
· False
Anonymization in the context of text data may comprise the removal of personally identifying information (PII), such as names and addresses, along with other sensitive particulars.In the case of photographs, procedures for anonymization might consist of blurring or masking faces, eliminating geolocation information, or modifying other identifying aspects in order to prevent persons from being identified.
The particular techniques utilized to anonymize data are determined by the characteristics of the data in question as well as the applications to which it will be put. The need of protecting privacy is going to have to be weighed against the value that the data might provide to worthy causes.
Answer
· Yes
· No
Answer
· Observer bias
· Interpretation bias
· Educational bias
· Confirmation bias
Answer
· True
· False
21. Ownership is a key issue in data ethics. Who owns data?
Answer
· The law enforcement agencies that enforce data protection laws
· The organization that invests time and money collecting, processing, and analyzing the data
· The individual who originally generates the data
· The government that passes data-protection legislation
Explanation: In many cases, legal frameworks, contractual agreements, and ethical concerns are involved in the process of determining who owns the data. When it comes to the management of data, data ethics places an emphasis on responsible and fair methods. These standards take into account the rights and interests of both the persons whose data is being managed and the organizations or entities that are managing the data.
22. Which of the following are commonly used methods for anonymizing data? Select all that apply.
Answer
· Masking
· Hashing
· Deleting
· Blanking
23. An individual who provides their data has the right to know and understand all of the data-processing activities and algorithms used on that data. This concept refers to which aspect of data ethics?
Answer
· Currency
· Consent
· Ownership
· Transaction transparency
Explanation: The principle that a person has the right to know and comprehend all of the data-processing activities and algorithms that are applied to their data is congruent with the component of data ethics known as transparency. In the context of data ethics, transparency refers to the provision of information that is both open and unambiguous about the manner in which data is acquired, processed, and used. It makes sure that people are aware of the aims, methods, and procedures that are involved in the processing of their personal data.
Building trust among people, providing individuals with the ability to make educated choices about their data, and holding companies responsible for ethical data practices all need transparency on some level. This idea is often mirrored in privacy rules and frameworks, with the emphasis being placed on the significance of transparency and clarity in the management of personal information.
24. In data ethics, consent gives an individual the right to know the answers to which of the following questions? Select all that apply.
Answer
· How long will my data be stored?
· Why am I being forced to share my data?
· How will my data be used?
· Why is my data being collected?