CIPT Leak Questions

Option A: Quality and benefit are important in design but do not specifically capture the essence of value sensitive design, which is more about ethical considerations.

Option B: Value sensitive design integrates considerations of ethics and morality into the technology design process, ensuring that the resulting systems align with human values.

Option C: Confidentiality and integrity are key aspects of information security but are not the primary focus of value sensitive design.

Option D: Consent and human rights are related to privacy and data protection but are narrower than the broader focus of ethics and morality in value sensitive design.

References:

IAPP CIPT Study Guide

Literature on Value Sensitive Design (VSD) principles and methodologies

Workplace surveillance best practices are designed to balance the need for security and productivity with respect for employees' privacy. Here's why option B is not considered a best practice:

Transparency and Consent: Best practices emphasize transparency. Employees should be aware of the surveillance and the reasons behind it. Discreet surveillance can create a distrustful work environment and potentially violate privacy laws.

Legal Compliance: Checking local privacy laws (A) ensures that surveillance practices are compliant with legal standards, which vary by region.

Data Minimization: Limiting exposure of the content (C) and ensuring minimal surveillance (D) align with data minimization principles, reducing the risk of misuse or over-collection of personal data.

Ethical Considerations: Ethical surveillance practices involve informing employees, obtaining consent, and using surveillance data responsibly.

Records management best practices include classifying data to determine appropriate access controls and retention policies. Classification allows organizations to systematically identify and manage records according to their level of sensitivity and importance, ensuring that data is accessible only to authorized personnel and retained for the required duration. This practice helps in maintaining data security and compliance with legal and regulatory requirements. The IAPP documentation emphasizes the importance of data classification in establishing robust data governance frameworks (IAPP, "Records Management and Data Classification").

Secret sharing is the technique that describes the use of encryption where encryption keys are divided into parts that can then be used to recover a full encryption key. This method ensures that no single part of the key is sufficient to decrypt the data, thereby enhancing security. Secret sharing schemes are detailed in the IAPP’s CIPT materials under cryptographic techniques, highlighting their application in securing sensitive information and managing encryption keys.