WGU D333
ETHICS IN TECHNOLOGY
WESTERN GOVERNORS UNIVERSITY
200 QUESTIONS | 2026/2027 NEWEST EXAM!!!
Objective Assessment Comprehensive Examination with 200 Verified Questions and Correct Answer
Rationales
200 QUESTIONS ETHICS TECH RATIONALES 2026/2027 NEWEST
, EXAM COVERAGE AREAS
WGU D333 Ethics in Technology - Comprehensive Domains | 2026/2027 | 200 Questions
Domain 1: Ethical Theories & Frameworks
• Ethical theories utilitarianism consequentialism greatest good, deontology duty Kant, virtue ethics character,
social contract
• Ethical decision-making frameworks
• Moral vs legal
• Professional codes ACM IEEE
Domain 2: Privacy, Surveillance & Data Ethics
• Privacy definition types surveillance
• Data collection minimization GDPR CCPA
• Location tracking biometrics
• Anonymization de-identification re-identification
Domain 3: Intellectual Property & Cyber Law
• IP copyright patent trademark trade secret fair use DMCA
• Software licensing open source proprietary
• Cyber law CFAA ECPA
• Hacking hacktivism
Domain 4: AI Ethics, Bias & Algorithmic Justice
• AI ethics bias dataset algorithmic fairness transparency explainability
• Autonomous systems liability
• Facial recognition
• Generative AI ethics
Domain 5: Cybersecurity, Social Impact & Digital Divide
• Cybersecurity ethics disclosure vulnerability white hat
• Social media ethics misinformation
• Digital divide access equity
• Tech addiction persuasive design
Latest OA High Yield 2026/2027
• WGU D333 OA focus ethical theories privacy IP AI bias cybersecurity
• Case studies
• Regulations GDPR CCPA
• 200 verified rationales newest
WGU D333 Ethics in Technology 2026/2027 Objective Assessment 200 Questions Page 2
, QUESTION 1: Utilitarianism vs deontology in tech?
A) Utilitarianism consequentialism greatest good for greatest number, deontology duty-based Kant
rules regardless of outcome
B) Same
C) Only utilitarianism
D) Only deontology
CORRECT ANSWER: A) Utilitarianism consequentialism greatest good for greatest
number, deontology duty-based Kant rules regardless of outcome
RATIONALE: Ethical theories: Utilitarianism consequentialism greatest happiness for greatest number Act
vs Rule. Deontology Kant duty-based categorical imperative rules regardless outcome. Virtue ethics
character virtues. Social contract. Used evaluate privacy vs security tradeoffs.
QUESTION 2: GDPR key principles?
A) Lawfulness fairness transparency, purpose limitation, data minimization, accuracy, storage
limitation, integrity confidentiality, accountability
B) No principles
C) Only minimization
D) Only transparency
CORRECT ANSWER: A) Lawfulness fairness transparency, purpose limitation, data
minimization, accuracy, storage limitation, integrity confidentiality, accountability
RATIONALE: GDPR EU: principles lawfulness fairness transparency, purpose limitation collect for specified
purpose, data minimization adequate relevant limited, accuracy, storage limitation not longer than needed,
integrity confidentiality security, accountability controller must demonstrate compliance. Rights erasure
portability. CCPA California similar.
QUESTION 3: Copyright fair use four factors?
A) Purpose character commercial vs educational, nature of work, amount used, effect on market
B) No factors
C) Only purpose
D) Only market
CORRECT ANSWER: A) Purpose character commercial vs educational, nature of work,
amount used, effect on market
RATIONALE: IP: Copyright protects expression not idea fair use four factors purpose character commercial
vs educational transformative, nature factual vs creative, amount substantiality, effect on market. Patent
invention 20 years, trademark brand, trade secret confidential. DMCA takedown, software licensing GPL
open source.
QUESTION 4: AI bias types and mitigation?
A) Bias dataset historical representation measurement, algorithmic bias, mitigation diverse data audit
fairness metrics transparency explainability human oversight
B) No bias
C) Only dataset
D) No mitigation
WGU D333 Ethics in Technology 2026/2027 Objective Assessment 200 Questions Page 3
, CORRECT ANSWER: A) Bias dataset historical representation measurement,
algorithmic bias, mitigation diverse data audit fairness metrics transparency
explainability human oversight
RATIONALE: AI ethics: Bias sources dataset historical bias past discrimination, representation bias
underrepresented groups, measurement bias proxies. Mitigation diverse representative data, fairness
metrics demographic parity equal opportunity, transparency explainable AI, human in loop audit. Facial
recognition bias higher error dark skin women.
QUESTION 5: White hat vs black hat disclosure?
A) White hat ethical authorized disclosure responsible disclosure, black hat malicious, gray hat
unauthorized but ethical intent, responsible disclosure notify vendor before public
B) Same
C) Only white hat
D) Only black hat
CORRECT ANSWER: A) White hat ethical authorized disclosure responsible disclosure,
black hat malicious, gray hat unauthorized but ethical intent, responsible disclosure
notify vendor before public
RATIONALE: Cybersecurity ethics: White hat ethical hacker authorized penetration testing, black hat
malicious, gray hat unauthorized but not malicious. Responsible disclosure notify vendor give time patch
before public, coordinated disclosure. Vulnerability disclosure ethics. CFAA Computer Fraud Abuse Act.
QUESTION 6: Digital divide and ethical responsibility?
A) Gap access technology internet skills between groups, ethical responsibility provide equitable
access affordability literacy inclusion
B) No divide
C) Only access
D) No responsibility
CORRECT ANSWER: A) Gap access technology internet skills between groups, ethical
responsibility provide equitable access affordability literacy inclusion
RATIONALE: Digital divide: gap access use internet devices skills between socioeconomic geographic age
groups. Ethical responsibility bridge divide affordable access digital literacy inclusive design. Persuasive
design dark patterns addiction attention economy ethical concerns. Tech equity.
QUESTION 7: Surveillance capitalism and privacy?
A) Zuboff harvesting personal data predict behavior for profit, privacy erosion chilling effects consent
B) No surveillance
C) Only profit
D) Only privacy
CORRECT ANSWER: A) Zuboff harvesting personal data predict behavior for profit,
privacy erosion chilling effects consent
RATIONALE: Privacy: surveillance capitalism Zuboff harvesting data predict modify behavior profit. Privacy
types informational bodily communication territorial. Surveillance workplace gov. Consent informed opt-in vs
opt-out. Anonymization k-anonymity differential privacy re-identification risk. Location tracking biometrics
ethical issues.
WGU D333 Ethics in Technology 2026/2027 Objective Assessment 200 Questions Page 4