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M7 - CyberSec & Priv
CYBERSECURITY AND PRIVACY / IT0204
| Question | Answer |
|---|---|
| An IoT company collects user data continuously but only secures it after breaches occur. Which obligation is breached? | Proactive security safeguards | Accountability | Portability | Transparency |
| A blockchain-based voting system risks exposing voter identities. Which key privacy concern is at play? | Confidentiality and anonymity | Data minimization | Transparency | Portability |
| Cloud service providers failing to encrypt data still meet confidentiality obligations. | False | True |
| A financial institution uses blockchain smart contracts for loans, but customers cannot understand the code. Which ethical concern arises? | Transparency and explainability | Lawfulness | Data minimization | Security |
| Which principles are required to ensure fairness in AI recruitment systems? | Testing for bias | Transparency of criteria | Human oversight | Immutability |
| IoT surveillance in workplaces without consent raises autonomy and privacy concerns. | True | False |
| AI systems making opaque medical diagnoses without validation pose risks to accuracy and fairness. | True | False |
| A company deploying AI to personalize pricing may risk violating: | Fairness and discrimination protections | Accuracy | Transparency | Storage limitation |
| AI-powered pricing algorithms may violate fairness if they discriminate against vulnerable groups. | True | False |
| Cloud analytics reusing client data for advertising without consent breaches purpose limitation. | True | False |
| An AI system used for hiring decisions is found to discriminate against women. Which principle is most directly violated? | Fairness | Transparency | Accountability | Proportionality |
| AI used in predictive policing without testing for bias risks reinforcing discrimination. | True | False |
| An AI model trained on biased datasets produces unfair outcomes. Which law or framework would address this issue? | AI ethics guidelines (e.g., EU AI Act) | Blockchain regulations | IoT policies | NIS Directive |
| AI decision-making without appeal undermines accountability. | True | False |
| IoT toys collecting children's voices without consent create risks under: | COPPA and GDPR child privacy rules | GDPR only | Blockchain immutability | AI transparency |
| AI grading systems in schools may risk bias and fairness issues. | True | False |
| IoT-enabled smart cities raise legal concerns about: | Surveillance and mass data collection | Accuracy | Minimization | Portability |
| Blockchain can challenge data rectification rights due to its immutability. | True | False |
| Which principle is challenged when AI cannot explain why it denied an applicant a job? | Explainability and transparency | Minimization | Accuracy | Integrity |
| Which ethical concern is most relevant when AI systems cannot explain their decision-making? | Explainability | Privacy | Fairness | Minimization |
| IoT home devices that default to maximum data collection practices conflict with: | Data minimization principle | Portability | Accuracy | Transparency |
| IoT devices used in homes should always default to maximum data collection for better personalization. | False | True |
| A blockchain-based project ensures transparency but risks disclosing personal identifiers. Which principle is compromised? | Privacy and proportionality | Accuracy | Accountability | Fairness |
| AI-based decisions about loan approvals must include: | Human review and accountability mechanisms | Cross-border transfer safeguards | Blockchain authentication | Data portability |
| Which obligations apply to cloud providers storing sensitive data? | Encryption | Breach notification | Cross-border compliance safeguards | Unlimited data retention |
| IoT wearables that monitor employee productivity without consent raise: | Workplace surveillance and autonomy issues | Transparency | Accuracy | Portability |
| Which principle is undermined when AI is used in predictive hiring without testing for bias? | Fairness and non-discrimination | Minimization | Transparency | Accuracy |
| AI systems exploiting consumer vulnerabilities raise ethical concerns of non-exploitation. | True | False |
| Blockchain-based identity systems risk exposing personal data permanently. | True | False |
| A blockchain project records personal health data that cannot be deleted. Which law's principle is most challenged? | GDPR (right to erasure) | CCPA | HIPAA | PDPA |
| Which ethical challenge arises from AI systems making decisions without human review? | Minimization | Loss of accountability | Transparency | Data retention |
| Blockchain ensures full compliance with GDPR because it guarantees transparency. | True | False |
| A company uses predictive AI in policing that unfairly targets minorities. Which principle is violated? | Data portability | Non-discrimination | Accuracy | Storage limitation |
| Which issues are raised by IoT surveillance in households? | Privacy risks | Unauthorized surveillance | Data security vulnerabilities | Data portability |
| AI surveillance tools monitoring employees' emotions without consent are ethically acceptable if efficient. | True | False |
| A company analyzing big data identifies ethnicity trends and sells them to insurers. Which principle is violated? | Accuracy | Non-discrimination and fairness | Portability | Security |
| IoT surveillance in workplaces without informing employees violates: | Accuracy | Consent and autonomy | Minimization | Portability |
| Cloud providers storing sensitive healthcare data abroad without safeguards breach cross-border compliance rules. | True | False |
| IoT devices collecting children's data without parental consent may breach COPPA and GDPR. | True | False |
| Which obligations are common across AI, IoT, and cloud systems? | Security safeguards | Transparency | Accountability | Immutability |
| A blockchain-based supply chain project allows tracing goods but also exposes supplier trade secrets. Which principle is challenged? | Accuracy | Transparency | Confidentiality and proportionality | Accountability |
| IoT devices monitoring patient health require compliance with: | GDPR only | GDPR and HIPAA provisions | CCPA only | Blockchain rules |
| Which ethical and legal concerns apply to big data analytics? | Purpose limitation | Risk of re-identification | Consent management |
| A city installs IoT-enabled cameras in public spaces without informing citizens. Which ethical issue arises? | Accuracy | Portability | Surveillance and lack of consent | Data minimization |
| Which challenge arises when blockchain-based systems cross multiple jurisdictions? | Accuracy | Legal uncertainty and enforcement gaps | Transparency | Minimization |
| Which safeguards are expected in IoT devices monitoring employees? | Informed consent | Data minimization | Privacy protections | Unlimited retention |
| IoT-connected vehicles transmitting geolocation data without anonymization raise: | Accuracy | Privacy and confidentiality concerns | Transparency | Accountability |
| A company using big data sells anonymized datasets that can still be re-identified. Which principle is violated? | Accuracy | Lawfulness | Privacy and data protection by design | Portability |
| Blockchain's immutability makes compliance with GDPR's right to erasure difficult. | True | False |
| Which ethical issue is raised by predictive policing algorithms reinforcing stereotypes? | Accuracy | Portability | Bias and fairness | Security safeguards |
| Which obligations are breached if IoT devices transmit data unencrypted? | Security safeguards | Confidentiality | Integrity protections | Data minimization |
| A blockchain identity project risks linking user transactions permanently. Which issue arises? | Accuracy | Portability | Lack of privacy and anonymity | Transparency |
| Which is a core challenge in regulating blockchain across borders? | Accuracy | Portability | Jurisdictional fragmentation | Data minimization |
| AI models collecting personal voice data for assistants without consent primarily raise: | Privacy and informed consent | Accuracy | Portability | Minimization |
| Cloud providers storing sensitive data in foreign servers may violate: | Cross-border compliance laws | Fairness | Accuracy | Portability |
| Blockchain’s immutability conflicts with which GDPR principle? | Right to be forgotten | Accuracy | Transparency | Data minimization |
| Cloud providers that do not implement incident response plans most likely violate: | Accountability and security obligations | Minimization | Transparency | Accuracy |
| A cloud-based analytics provider reuses data for advertising without notice. Which obligation is violated? | Purpose limitation and consent | Accuracy | Portability | Transparency |
| Cloud providers outsourcing storage to third parties without disclosure violate: | Transparency and accountability | Accuracy | Minimization | Security |
| Cloud computing | Blockchain applications | Big data analytics | Local IoT networks only | |
| Blockchain’s immutability supports data erasure rights. | True | False |
| A cloud service provider that fails to notify clients after a breach violates accountability standards. | True | False |
| Blockchain traceability in supply chains can conflict with: | Trade secrets and confidentiality | Accuracy | Fairness | Storage limitation |
| A company deploying IoT wearables for employees does not secure collected health data. Which is violated? | Data security and confidentiality | Lawfulness | Transparency | Data portability |
| Which principle is violated when AI makes opaque, high-risk decisions affecting individuals? | Transparency and accountability | Storage limitation | Accuracy | Lawfulness |
| Blockchain applications in finance raise compliance issues with: | Anti-money laundering and data protection laws | AI fairness | IoT interoperability | APPs |
| Which obligations are central to IoT healthcare devices? | Security safeguards | Confidentiality | Compliance with health data laws | Unlimited retention |
| Which legal risks are raised by blockchain in financial services? | Anti-money laundering concerns | Data protection compliance | Jurisdictional conflicts | Fairness in hiring |
| An AI-powered recruitment tool that filters applicants without disclosure violates transparency principles. | True | False |
| Which challenges are linked to AI predictive policing? | Reinforcing stereotypes | Discrimination | Lack of transparency | Portability |
| A smart home device constantly transmits audio data without explicit permission. This primarily violates: | Privacy and consent | Accuracy | Fairness | Portability |
| IoT-connected cars transmitting geolocation data without anonymization raise privacy concerns. | True | False |
Created by:
Jsean-Ed