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Vendor: | IAPP |
---|---|
Exam Code: | CIPT |
Exam Name: | Certified Information Privacy Technologist |
Exam Questions: | 220 |
Last Updated: | October 6, 2025 |
Related Certifications: | IAPP Certification Programs |
Exam Tags: | Professional ServiceNow Application DevelopersTechnical Consultants |
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In the realm of artificial intelligence, how has deep learning enabled greater implementation of machine learning?
Deep learning, a subset of machine learning, has enabled the greater implementation of machine learning by significantly enhancing the capabilities of neural networks. Here's how:
Neural Networks Expansion: Deep learning involves the use of large, complex neural networks that have many layers (hence the term 'deep'). These networks can model intricate patterns and representations in data.
Massive Data Processing: Deep learning algorithms require and utilize vast amounts of data to train these neural networks. The more data processed, the better the model can learn to generalize and perform accurately on new data.
Automatic Feature Extraction: Unlike traditional machine learning methods that often require manual feature extraction, deep learning algorithms can automatically learn and extract features from raw data. This eliminates the need for hand-coded classifiers and simplifies the process of implementing machine learning models.
Performance Improvements: The ability to process and learn from large datasets has led to breakthroughs in various fields such as image and speech recognition, natural language processing, and autonomous driving.
SCENARIO
Please use the following to answer the next question:
Light Blue Health (LBH) is a healthcare technology company developing a new web and mobile application that collects personal health information from electronic patient health records. The application will use machine learning to recommend potential medical treatments and medications based on information collected from anonymized electronic health records. Patient users may also share health data collected from other mobile apps with the LBH app.
The application requires consent from the patient before importing electronic health records into the application and sharing it with their authorized physicians or healthcare provider. The patient can then review and share the recommended treatments with their physicians securely through the app. The patient user may also share location data and upload photos in the app. The patient user may also share location data and upload photos in the app for a healthcare provider to review along with the health record. The patient may also delegate access to the app.
LBH's privacy team meets with the Application development and Security teams, as well as key business stakeholders on a periodic basis. LBH also implements Privacy by Design (PbD) into the application development process.
The Privacy Team is conducting a Privacy Impact Assessment (PIA) to evaluate privacy risks during development of the application. The team must assess whether the application is collecting descriptive, demographic or any other user related data from the electronic health records that are not needed for the purposes of the application. The team is also reviewing whether the application may collect additional personal data for purposes for which the user did not provide consent.
The Privacy Team is conducting a Privacy Impact Assessment (PIA) for the new Light Blue Health application currently in development. Which of the following best describes a risk that is likely to result in a privacy breach?
Encryption of Data in Transit: Encrypting health records during transfer is a critical security measure to protect data from interception and unauthorized access. Failure to do so exposes sensitive personal health information to potential breaches.
Privacy Risks: Not encrypting data in transit can lead to significant privacy breaches, especially when dealing with highly sensitive health information. It is essential to use strong encryption methods to secure data during transfer between users' devices and servers.
Reference: The IAPP's documentation on Privacy by Design emphasizes the necessity of encryption for protecting personal data, particularly in healthcare applications where the risk and impact of data breaches are high. Additionally, the Health Insurance Portability and Accountability Act (HIPAA) requires encryption of electronic protected health information (ePHI) in transit to ensure its security and confidentiality.
Machine-learning based solutions present a privacy risk because?
Machine-learning solutions present a privacy risk primarily because the training data used during the training phase may contain sensitive information. If this data is compromised, it can lead to privacy breaches. Machine-learning models can also inadvertently memorize and reproduce sensitive data from the training set.
Reference: IAPP CIPT Study Guide, 'Privacy Risks in Machine Learning,' which discusses the significance of ensuring the security and privacy of training data.
SCENARIO
Please use the following to answer the next question:
Light Blue Health (LBH) is a healthcare technology company developing a new web and mobile application that collects personal health information from electronic patient health records. The application will use machine learning to recommend potential medical treatments and medications based on information collected from anonymized electronic health records. Patient users may also share health data collected from other mobile apps with the LBH app.
The application requires consent from the patient before importing electronic health records into the application and sharing it with their authorized physicians or healthcare provider. The patient can then review and share the recommended treatments with their physicians securely through the app. The patient user may also share location data and upload photos in the app. The patient user may also share location data and upload photos in the app for a healthcare provider to review along with the health record. The patient may also delegate access to the app.
LBH's privacy team meets with the Application development and Security teams, as well as key business stakeholders on a periodic basis. LBH also implements Privacy by Design (PbD) into the application development process.
The Privacy Team is conducting a Privacy Impact Assessment (PIA) to evaluate privacy risks during development of the application. The team must assess whether the application is collecting descriptive, demographic or any other user related data from the electronic health records that are not needed for the purposes of the application. The team is also reviewing whether the application may collect additional personal data for purposes for which the user did not provide consent.
What is the best way to minimize the risk of an exposure violation through the use of the app?
By dissociating patient health data from personal data, Light Blue Health can help reduce the risk of an exposure violation. This can help prevent sensitive health information from being linked to an individual's identity and reduce the potential harm that could result from a privacy breach.
SCENARIO
Please use the following to answer the next question:
Light Blue Health (LBH) is a healthcare technology company developing a new web and mobile application that collects personal health information from electronic patient health records. The application will use machine learning to recommend potential medical treatments and medications based on information collected from anonymized electronic health records. Patient users may also share health data collected from other mobile apps with the LBH app.
The application requires consent from the patient before importing electronic health records into the application and sharing it with their authorized physicians or healthcare provider. The patient can then review and share the recommended treatments with their physicians securely through the app. The patient user may also share location data and upload photos in the app. The patient user may also share location data and upload photos in the app for a healthcare provider to review along with the health record. The patient may also delegate access to the app.
LBH's privacy team meets with the Application development and Security teams, as well as key business stakeholders on a periodic basis. LBH also implements Privacy by Design (PbD) into the application development process.
The Privacy Team is conducting a Privacy Impact Assessment (PIA) to evaluate privacy risks during development of the application. The team must assess whether the application is collecting descriptive, demographic or any other user related data from the electronic health records that are not needed for the purposes of the application. The team is also reviewing whether the application may collect additional personal data for purposes for which the user did not provide consent.
Regarding the app, which action is an example of a decisional interference violation?
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