Latest WGU Ethics-In-Technology D333 Practice Questions By Conway

The intensive care specialist acts with good intent (saving the patient's life) but violates privacy laws in the process.

Why is this ethical?

The doctor prioritizes the patient's life and well-being, which aligns with the ethical principle of beneficence (doing good).

The action follows utilitarian ethics, where breaking a rule is justified if it results in a greater moral good (saving a life).

Why is this illegal?

Bypassing privacy protections (e.g., HIPAA, GDPR) violates legal and regulatory standards concerning patient data.

Medical institutions require proper authorization to access patient records, even in emergencies.

Why Not the Other Options?

A . Unethical and Legal: The action is not unethical because the intention is to save a life.

B . Unethical and Illegal: The action is illegal but not unethical, as it prioritizes the patient's survival.

C . Ethical and Legal: While ethical, privacy laws are still broken, making it illegal.

Thus, the correct answer is D. Ethical and Illegal, as the doctor acts ethically but violates privacy laws in the process.

Reference in Ethics in Technology:

Beauchamp, T., & Childress, J. (2019). Principles of Biomedical Ethics. Oxford University Press.

General Data Protection Regulation (GDPR) (2018).

Health Insurance Portability and Accountability Act (HIPAA) (1996).

Tavani, H. T. (2016). Ethics and Technology: Controversies, Questions, and Strategies for Ethical Computing.

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

Relevant Ethical Reference in Technology:

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.

Thus, the correct answer is C. Human developers, as they introduce unintentional bias into AI systems through their decisions.