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WGU Ethics-In-Technology

Ethics-In-Technology

Exam Code: Ethics-In-Technology

Exam Name: WGU Ethics In Technology QCO1

Updated: Aug 26, 2026

Q&A Number: 68 Q&As

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WGU Ethics-In-Technology Exam Syllabus Topics:

SectionObjectives
Legal and Regulatory Issues- Intellectual property
  • 1. Software piracy and plagiarism
    • 2. Copyright and licensing
      - Privacy and data protection
      • 1. User consent and data usage
        • 2. GDPR and data handling principles
          Foundations of Ethics in Technology- Ethical theories and moral reasoning
          • 1. Utilitarianism vs deontology
            • 2. Virtue ethics and professional judgment
              - Ethical decision-making frameworks
              • 1. Stakeholder analysis
                • 2. Risk and impact evaluation
                  Professional Ethics in IT- Professional responsibility
                  • 1. Whistleblowing and compliance
                    • 2. Accountability in software development
                      - Codes of conduct
                      • 1. IEEE Code of Ethics
                        • 2. ACM Code of Ethics
                          Security and Ethical Risk- Cybersecurity ethics
                          • 1. Hacking ethics (white hat vs black hat)
                            • 2. Responsible disclosure
                              - Data integrity and protection
                              • 1. Misuse of systems and safeguards
                                • 2. Confidentiality and access control
                                  Societal Impact of Technology- Technology and society
                                  • 1. Bias and fairness in systems
                                    • 2. Digital divide and accessibility
                                      - Emerging technologies
                                      • 1. AI ethics and automation impact
                                        • 2. Surveillance and privacy concerns

                                          WGU Ethics In Technology QCO1 Sample Questions:

                                          Question 1

                                          A large telecommunications company pledged to adopt green computing in everything it does. The telecommunications company hired a consulting firm to help it evaluate, compare, and select supplies based on standard eco-friendly criteria.
                                          What should the consulting firm use to help achieve this goal?

                                          A. Environmental impact assessment (EIA).
                                          B. Electronic Product Environmental Assessment Tool (EPEAT).
                                          C. Professional employer organization (PEO)
                                          D. Restriction of Hazardous Substances Directive (RoHS)


                                          Question 2

                                          A company struggles to maintain project schedules with its current resource capacity. With a new set of corporate goals and restrictions on full-time hires, the company is considering adding contingent workers to help fill the gap.
                                          What is a disadvantage of using contingent workers to support the company's goals?

                                          A. Internal business process understanding will be minimal given the temporary nature of the workers.
                                          B. The company does not have to provide benefits throughout the project's lifecycle.
                                          C. The company may require the same worker tor other projects.
                                          D. Any skills gained during employment will be lost to the company at the project's completion.


                                          Question 3

                                          What is the unintended source of bias in artificial intelligence (Al) algorithms?

                                          A. Excessive validation sample sizes
                                          B. Human developers
                                          C. Excessive training sample sizes
                                          D. Tainted examples


                                          Question 4

                                          Which principle, according to the Organisation for Economic Co-operation and Development's (OECD) privacy guidelines, states that people have the right to review their data, challenge its correctness, and have incorrect data changed?

                                          A. Individual participation
                                          B. Use limitation
                                          C. Security safeguard
                                          D. Purpose specification


                                          Question 5

                                          A data scientist selects publicly available demographic data from a limited group of familiar zip codes when training an algorithm. What are two ethical concerns with this approach? Choose 2 answers.

                                          A. Privacy violation
                                          B. Proxy discrimination
                                          C. Small sample size
                                          D. Predictive coding


                                          Solutions:

                                          Question 1
                                          Answer: B
                                          Question 2
                                          Answer: A
                                          Question 3
                                          Answer: B
                                          Question 4
                                          Answer: A
                                          Question 5
                                          Answer: B,C

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