NSCT- AI Ethics, Security & Privacy MCQs 20 min Score: 0 Attempted: 0/20 Subscribe 1. . AI ethics is: (A) Backup only (B) Encrypting AI systems only (C) Compressing datasets only (D) The study and practice of ensuring AI systems are designed and used in a morally responsible wayShow All Answers 2. . Bias in AI refers to: (A) Compressing bias (B) Encrypting bias (C) Systematic errors or unfairness in AI predictions due to skewed data or algorithms (D) Backup only 3. . Fairness in AI aims to: (A) Backup only (B) Encrypt fairness (C) Compress fairness (D) Ensure AI decisions do not discriminate against individuals or groups 4. . Explainability in AI means: (A) Backup only (B) Encrypting explanations (C) Compressing explanations (D) Making AI decisions understandable to humans 5. . Transparency in AI involves: (A) Encrypting transparency (B) Being open about how AI models make decisions, including data and algorithms used (C) Compressing transparency (D) Backup only 6. . Privacy in AI focuses on: (A) Encrypting privacy (B) Protecting personal data from misuse or unauthorized access (C) Compressing data (D) Backup only 7. . Data anonymization in AI is: (A) Encrypting anonymized data (B) Removing personally identifiable information (PII) from datasets (C) Compressing anonymized data (D) Backup only 8. . Adversarial attacks on AI are: (A) Compressing attacks (B) Encrypting attacks (C) Attempts to manipulate inputs to deceive or mislead AI models (D) Backup only 9. . AI robustness refers to: (A) The ability of AI models to perform reliably under various conditions, including attacks or noise (B) Encrypting robustness (C) Compressing robustness (D) Backup only 10. . Security in AI includes: (A) Encrypting AI only (B) Protecting AI systems from cyber threats, data tampering, and unauthorized access (C) Compressing AI models (D) Backup only 11. . Differential privacy ensures: (A) Individual data cannot be identified even when used in statistical models or machine learning (B) Encrypting data (C) Compressing privacy (D) Backup only 12. . Accountability in AI means: (A) Backup only (B) Encrypting accountability (C) Compressing accountability (D) Responsibility for decisions and actions made by AI systems 13. . Human-in-the-loop AI ensures: (A) Backup only (B) Encrypting oversight (C) Compressing AI decisions (D) Human oversight in AI decision-making to prevent errors and unethical outcomes 14. . Ethical AI frameworks guide: (A) Backup only (B) Encrypting AI ethics (C) Compressing frameworks (D) Development, deployment, and governance of AI to ensure fairness, transparency, and privacy 15. . AI model auditing is used to: (A) Evaluate AI for fairness, accuracy, security, and compliance with regulations (B) Encrypt audits (C) Compress audits (D) Backup only 16. . Data governance in AI refers to: (A) Encrypting governance (B) Policies and practices to manage the quality, privacy, and ethical use of data (C) Compressing governance (D) Backup only 17. . Explainable AI (XAI) helps to: (A) Backup only (B) Encrypt XAI (C) Compress explanations (D) Understand how AI models reach decisions to build trust and accountability 18. . AI security threats include: (A) Backup only (B) Encrypting threats (C) Compressing threats (D) Data poisoning, model inversion, adversarial examples, and unauthorized access 19. . Regulatory compliance in AI ensures: (A) AI systems follow laws and standards related to privacy, security, and fairness (B) Encrypting compliance (C) Compressing compliance (D) Backup only 20. . The main purpose of AI ethics, security, and privacy is to: (A) Ensure AI systems are safe, fair, transparent, accountable, and respect human rights (B) Encrypt all AI models (C) Compress datasets (D) Backup only
