- 1. The ethics of artificial intelligence (AI) is a rapidly evolving field that explores the moral implications and societal impact of increasingly autonomous systems. As AI technologies become deeply integrated into various aspects of life, from healthcare and transportation to finance and surveillance, the need for ethical guidelines becomes critical. Central to this discourse is the challenge of ensuring that AI systems are developed and deployed in ways that promote fairness, accountability, and transparency, while also safeguarding against biases that may arise from flawed data or algorithms. The ethical debate encompasses concerns over privacy, as AI's ability to process vast amounts of personal information raises questions about consent and surveillance. Furthermore, as machines take on roles traditionally held by humans, such as in decision-making processes or job functions, issues of labor displacement and the redistribution of economic power come to the forefront. The potential for AI to perpetuate existing inequalities highlights the importance of involving diverse voices in the conversation to preemptively address ethical concerns before they manifest in societal challenges. Ultimately, navigating the ethics of artificial intelligence requires a collaborative approach that includes technologists, ethicists, policymakers, and the broader public, ensuring that the benefits of AI are shared equitably while minimizing potential harms.
Which principle promotes the idea that AI should do no harm?
A) Autonomy
B) Justice
C) Beneficence
D) Non-maleficence
- 2. What is a key ethical concern regarding data privacy in AI?
A) Speed of processing
B) Informed consent
C) Algorithm transparency
D) Model accuracy
- 3. What is a common term for unintentional bias in AI systems?
A) Algorithmic bias
B) Machine error
C) Data integrity
D) Model overfitting
- 4. The concept of transparency in AI refers to:
A) Data ownership
B) Understanding how AI makes decisions
C) The speed of its operations
D) Technical complexity
- 5. What ethical theory emphasizes the consequences of actions?
A) Deontology
B) Social contract theory
C) Virtue ethics
D) Consequentialism
- 6. Which is a potential risk of autonomous AI systems?
A) Enhanced decision-making
B) Reduced costs
C) Loss of human jobs
D) Increased productivity
- 7. What does AI explainability aim to achieve?
A) Improving accuracy of predictions
B) Increasing AI speed
C) Making AI decisions understandable
D) Reducing computational costs
- 8. Which organization advocates for ethical AI guidelines?
A) OECD
B) NATO
C) OPEC
D) WHO
- 9. What is one way to mitigate bias in AI?
A) Fewer data points
B) Greater processing power
C) Diverse training datasets
D) More complex algorithms
- 10. What is a recommended practice for AI deployment?
A) Using outdated data
B) Minimizing user feedback
C) Avoiding documentation
D) Regular audits of AI systems
- 11. What ethical challenge might arise with AI in warfare?
A) Faster communication
B) Improved soldier safety
C) Enhanced strategy development
D) Autonomous weapons systems
- 12. What is the term for giving AI moral or legal rights?
A) Autonomy
B) Responsibility
C) Accountability
D) Personhood
- 13. What is the 'black box' problem in AI?
A) Speed of processing
B) Complex user input requirements
C) Low data storage
D) Lack of transparency in decision-making
- 14. Which organization focuses on AI safety and ethics?
A) OpenAI
B) W3C
C) NASA
D) IEEE
- 15. What is data privacy?
A) Saving all user data
B) Using data without consent
C) Protecting personal information from unauthorized access
D) Public distribution of data
- 16. What challenge does AI present to employment?
A) Skill enhancement
B) Job creation
C) Better working conditions
D) Job displacement
- 17. Which area commonly faces ethical dilemmas due to AI?
A) Agricultural practices
B) Healthcare
C) Construction technology
D) Banking only
- 18. Which concept promotes shared human values in AI design?
A) Market-driven design
B) Functionality first
C) Value alignment
D) Autonomous development
- 19. What is a key factor in maintaining privacy in AI?
A) Increased data retention
B) Storing personal data
C) Public access to personal data
D) Data anonymization
- 20. Which legislation addresses AI and personal data in the EU?
A) ADA
B) GDPR
C) FERPA
D) HIPAA
- 21. What is a consequence of neglecting AI ethics?
A) Greater efficiency
B) Lower operational costs
C) Faster technological development
D) Loss of public trust
- 22. How can AI contribute to social inequality?
A) Discriminatory access to technology
B) Job diversification
C) Universal access to information
D) Equal opportunity
- 23. Which technology raises ethical concerns regarding bias?
A) Machine learning
B) Blockchain
C) Cloud storage
D) Supercomputing
- 24. What is a potential benefit of AI in disaster response?
A) Improved resource allocation
B) Higher costs
C) Increased confusion
D) Slower response times
- 25. What aspect of AI is concerned with maintaining human oversight?
A) Full automation
B) Human-in-the-loop
C) Algorithm independence
D) Self-learning systems
|