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2025 Newest Valid Dumps Ethics-In-Technology Questions | WGU Ethics In Technology QCO1 100% Free Valid Braindumps Free
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WGU Ethics In Technology QCO1 Sample Questions (Q18-Q23):
NEW QUESTION # 18
An engineer is working on a project to manufacture radar processing equipment for the U.S. military. As part of the project contract, all devices must be new. The engineer discovers that the manufacturer has a policy of using refurbished parts. The engineer speaks to their manager about it and is ignored.
What should this engineer do?
- A. Report the activities to the government
- B. Resign from their job
- C. Ask to be moved to a different activity
- D. Contact the local media
Answer: A
NEW QUESTION # 19
During an investigation into a bank robbery, the Federal Bureau of Investigation (FBI) wants to monitor the telephone calls of identified suspects in the case for a two-week period. Due to the short time frame of the investigation, the FBI does not have time to pursue judicial authorization and get a warrant for surveillance.
Which type of telephone calls is legal for the FBI to monitor under the Foreign Intelligence Surveillance Act (FlSA). given the time frame of the investigation?
- A. Calls initiated by a non-U.S. citizen to a U.S. citizen
- B. Calls between two U.S. citizens
- C. Calls between two non-U.S. citizens
- D. Calls initiated by a U.S. citizen to a non-U.S. citizen
Answer: C
NEW QUESTION # 20
A cloud computing company uses machine learning software to screen the resumes of job seekers. The company's aim is to reduce potential human prejudice in the hiring process. To set up the software and train the machine learning model, the company provides information from its hiring decisions over the past five years. After several months of using the software, the company runs an audit and finds that the software screens out minority job seekers at a much higher rate.
Which behavior is the trained machine learning model displaying?
- A. Scoring low humility measurement
- B. Acting fairly toward candidates
- C. Exposing bias that exists in the data
- D. Exhibiting intent to harm applicants
Answer: C
Explanation:
The machine learning model unintentionally discriminates against minority job seekers because it was trained on historical hiring data that contained biases.
Why Exposing Bias in Data?
* Machine learning systems reflect the biases present in their training data.
* If past hiring decisions favored certain groups, the AI will replicate and reinforce those biases.
* The audit revealed systematic discrimination, indicating bias in the data, not the AI itself.
* B. Acting fairly toward candidates - The AI is not fair if it disproportionately excludes minority job seekers.
* C. Exhibiting intent to harm applicants - The AI does not have intent; bias is an unintended consequence of flawed data.
* D. Scoring low humility measurement - "Humility" is not a standard AI metric; bias exposure is the actual issue.
Why Not the Other Options?Thus, the correct answer is A. Exposing bias that exists in the data, as the AI amplifies historical discrimination in hiring.
* O'Neil, C. (2016). Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy.
* U.S. Equal Employment Opportunity Commission (EEOC) Guidelines on AI Hiring.
* Floridi, L. (2013). The Ethics of Information.
References in Ethics in Technology:
NEW QUESTION # 21
What is the unintended source of bias in artificial intelligence (Al) algorithms?
- A. Human developers
- B. Excessive training sample sizes
- C. Excessive validation sample sizes
- D. Tainted examples
Answer: A
NEW QUESTION # 22
An incident handler discovers an unauthorized change in the security key vault's database file, which caused a disclosure of confidential information. Which ethical issue does this incident pose?
- A. Privacy
- B. Access
- C. Property
- D. Accuracy
Answer: A
Explanation:
The unauthorized change in the security key vault's database led to the disclosure of confidential information, which directly impacts privacy. Privacy concerns the protection of personal and sensitive information from unauthorized access, use, or exposure.
When confidential data is leaked, it violates fundamental principles of data privacy and security, raising ethical issues about how sensitive information is managed and protected.
* Privacy Ethics (Warren & Brandeis, 1890) - Defined privacy as "the right to be let alone."
* Data Protection Regulations - GDPR (Europe), CCPA (California), and HIPAA (for health data) enforce ethical handling of personal information.
* Confidentiality Principle in Cybersecurity - Ensuring only authorized access to sensitive information aligns with professional ethical standards (e.g., ACM Code of Ethics, IEEE Ethics Code).
* Ethical Hacking & Incident Handling - Ethical frameworks emphasize preventing breaches that compromise privacy.
Relevant Ethical References in Technology:Thus, this incident primarily raises concerns about privacy, making option B the correct answer.
NEW QUESTION # 23
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