ETHICS-IN-TECHNOLOGY FREE EXAM - ETHICS-IN-TECHNOLOGY TEST CENTRES

Ethics-In-Technology Free Exam - Ethics-In-Technology Test Centres

Ethics-In-Technology Free Exam - Ethics-In-Technology Test Centres

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WGU Ethics In Technology QCO1 Sample Questions (Q37-Q42):

NEW QUESTION # 37
A company wants to improve its chances of winning business with a prospective client. The company sends an expensive watch to the home address of each of the client's directors. Which ethical issue is the company engaging in?

  • A. Fraud
  • B. Bribery
  • C. Misrepresentation
  • D. Conflict of interest

Answer: B

Explanation:
Industrial espionage refers to the unauthorized theft or copying of trade secrets, proprietary information, or intellectual property from one company to another, often to gain a competitive advantage.
Why is this Industrial Espionage?
* The sibling stole proprietary source code from Employee A's laptop.
* This act provides unfair competitive advantage to the sibling's company.
* Unauthorized access to trade secrets violates legal and ethical standards (e.g., Economic Espionage Act).
* A. Nepotism - Favoring family members in hiring or promotions, but this case involves theft.
* B. Conflict of Interest - Would apply if Employee A voluntarily shared information, but here, it was stolen.
* D. Corruption - Involves bribery or unethical business practices but does not specifically relate to corporate theft.
Why Not the Other Options?Thus, the correct answer is C. Industrial Espionage, as it involves theft of confidential trade secrets.
* Economic Espionage Act (1996), 18 U.S.C. §§ 1831-1839.
* OECD Guidelines on Corporate Ethics and Intellectual Property Protection.
References in Ethics in Technology:


NEW QUESTION # 38
A university brought legal proceedings against a student who posted negative comments anonymously on the internet about the university's dean. Which type of lawsuit is this?

  • A. Hate speech
  • B. Strategic lawsuit against public participation (SLAPP)
  • C. John Doe lawsuit
  • D. Anti-strategic lawsuit against public participation (Anti-SLAPP)

Answer: C


NEW QUESTION # 39
An insurance company develops an artificial intelligence (Al) system to manage claims automatically.
Although this technology benefits most customers, people from neighborhoods associated with a low socioeconomic status find it harder to get their claims approved. The company decides to keep using the system.
Which ethical theory justifies the company to come to this decision?

  • A. Utilitarianism
  • B. Deontology
  • C. Pluralism
  • D. Virtue ethics

Answer: A

Explanation:
The decision made by the insurance company aligns with utilitarianism, an ethical theory that evaluates actions based on their overall consequences and aims to maximize happiness or well-being for the greatest number of people.
Why Utilitarianism?
* The company continues using the AI system because it benefits the majority of customers, even though it negatively affects a marginalized group.
* Utilitarianism, as defined by Jeremy Bentham and later refined by John Stuart Mill, prioritizes actions that generate the most favorable outcomes for the largest number of individuals.
* Since the AI system increases efficiency and improves claim processing for most customers, the company may justify its use under "the greatest happiness principle."
* However, utilitarianism can be criticized for neglecting minority groups if their suffering is outweighed by the benefits to the majority, as seen in this case.
* A. Pluralism: Pluralism acknowledges multiple moral values but does not necessarily justify sacrificing fairness for efficiency. The company's decision does not reflect a commitment to balancing competing moral principles.
* C. Virtue Ethics: Virtue ethics, based on Aristotle's philosophy, emphasizes moral character and virtues such as justice and fairness. A company operating under virtue ethics would likely strive to ensure fairness for all customers rather than prioritizing overall utility.
* D. Deontology: Deontology, rooted in Immanuel Kant's philosophy, focuses on duty, rights, and moral rules. A deontologist would argue that it is unethical to use a system that discriminates against certain groups, even if it benefits the majority.
Why Not the Other Theories?Thus, the correct ethical framework that justifies the company's decision is utilitarianism because it prioritizes the greater good, even at the expense of fairness for a smaller group.
* Mill, J. S. (1863). Utilitarianism. London: Parker, Son, and Bourn.
* Bentham, J. (1789). An Introduction to the Principles of Morals and Legislation. Oxford: Clarendon Press.
* Floridi, L. (2013). The Ethics of Information. Oxford University Press.
* Binns, R. (2018). "Fairness in Machine Learning: Lessons from Political Philosophy." Proceedings of the 2018 Conference on Fairness, Accountability, and Transparency (FAT).
References in Ethics in Technology:


NEW QUESTION # 40
What is the unintended source of bias in artificial intelligence (Al) algorithms?

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

Answer: A

Explanation:
The unintended source of bias in AI algorithms comes from human developers, who bring their own unconscious biases into data selection, feature engineering, and model training.
Even when AI is designed to be neutral, developers may:
* Select biased training data
* Define biased decision-making rules
* Fail to recognize discriminatory outcomes
* Algorithmic Bias & Human Influence - AI reflects the biases of those who design it, making human oversight crucial.
* ACM & IEEE AI Ethics Guidelines - Encourage bias audits and ethical AI development.
* Historical Bias & Discrimination in AI (Amazon Hiring AI Case) - AI replicated gender biases because of biased developer input.
* Deontological Ethics & AI Responsibility - Developers must take responsibility for preventing bias in AI systems.
Relevant Ethical References in Technology:Thus, the correct answer is C. Human developers, as they introduce unintentional bias into AI systems through their decisions.


NEW QUESTION # 41
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. Exposing bias that exists in the data
  • C. Exhibiting intent to harm applicants
  • D. Acting fairly toward candidates

Answer: B

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 # 42
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