What's Your Privacy IQ? Test Your Legislative Knowledge
Notice bibliographique
Résumé
[ILLUSTRATION OMITTED] Maintaining the privacy and protection of customers' and employees' personal information is a risk management issue for all organizations. The increase in identity theft is also a concern for all organizations. Laws and regulations continue to place requirements on businesses for the protection of personal data. Myriad laws and regulations address privacy concerns and the collection, use, disclosure, and disposal of personally identifiable information. How much do you know about the multitude of privacy regulations that exist today? Take this quiz to find out. 1. Which was the first state to enact a data security breach law? a. Mississippi. b. California. c. Massachusetts. d. Kentucky 2. Which of the following laws deals with the privacy of student education records? a. FACTA. b. HITECH. c. FERPA. d. COPPA. 3. The CAN-SPAM Act is a law that sets the rules for commercial email and establishes requirements for commercial messages. Which of the following is not a requirement of the CAN-SPAM Act? a. Don't use false or misleading header information in emails. b. Don't use deceptive subject lines in emails. c. Honor opt-out requests within 90 days of receipt. d. Tell recipients where you're located. 4. The Red Flags Rule requires and creditors to implement a written program to prevent and respond to which of the following? a. Network security breaches. b. Identity theft. c. Loan fraud. d. All of the above. 5. Many companies collect personal information from their customers, including names, addresses, and phone numbers; bank and credit card account numbers; income and credit histories; and Social Security numbers. The Gramm-Leach-Bliley (GLB) Act requires companies defined under the law as financial institutions to ensure the security and confidentiality of this type of information. Which of the following items are parts of the GLB Act? a. Safeguards rule. b. Financial privacy rule. c. Pretexting provisions. d. All of the above. 6. What types of entities (considered as covered entities) must comply with the Health Insurance Portability and Accountability Act (HIPAA)? a. Health insurers. b. Health care providers. c. Pharmacies. d. Health care clearinghouses. e. All of the above. 7. Which of the following is true about the Health Information Technology for Economic and Clinical Health Act (HITECH)? a. Electronic health records are not covered. b. If 500 or more health records are breached, the U.S. Department of Health and Human Services must be notified. c. Only HIPAA-required entities are covered, not business associates. d. Individuals are allowed to bring law suits against health care providers for data breaches. e. All of the above. 8. The U.S. Department of Commerce, in consultation with the European Commission, developed a safe harbor framework to bridge the different privacy approaches of the European Union and the United States. To ensure compliance with the framework, an organization must have which of the following components in place? a. Verification. b. Dispute resolution. c. Remedy. d. All of the above. 9. What is the Personal Information Protection and Electronic Documents Act (PIPEDA)? a. The Canadian law relating to data privacy b. The U.K. law relating to data privacy c. The Massachusetts privacy law, the toughest in the United States. d. None of the above. 10. The Privacy Act of 1974 establishes a code of fair information practices that governs the collection, maintenance, use, and dissemination of information about individuals maintained in records systems by: a. …
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,023 |
| Science ouverte | 0,003 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».