- Addresses privacy concerns by sharing model parameters, ensuring data security.<br> - Scalable and performs well in classifying Alzheimer's Disease from MRI data.<br> - Can generalize well to new datasets and cohorts.<br> - Efficiency enhanced by aggregating locally trained parameters on a central server.<br> - Shows promise in neuroimaging research.

Which is an example of a Generative AI data privacy concern

The digital economy relies heavily on user data to personalize experiences and targeted advertising. How might the increasing capabilities of generative AI potentially impact data privacy concerns?Select one:a. Lead to stricter regulations on data collection practices to protect user privacy from AI misuse.b. Increase privacy concerns as AI can generate synthetic data that could be used for identity theft.c. Reduce privacy concerns as AI can personalize experiences without needing extensive user data.d. Make data anonymization techniques obsolete due to the sophistication of generative AI for data manipulation.

The digital economy relies heavily on user data to personalize experiences and targeted advertising. How might the increasing capabilities of generative AI potentially impact data privacy concerns?Select one:a. Make data anonymization techniques obsolete due to the sophistication of generative AI for data manipulation.b. Increase privacy concerns as AI can generate synthetic data that could be used for identity theft.c. Reduce privacy concerns as AI can personalize experiences without needing extensive user data.d. Lead to stricter regulations on data collection practices to protect user privacy from AI misuse.

Which best describes privacy in AI?A.The right of individuals to control their personal data and how it is collected, processed, and shared by AI systemsB.The obligation of developers and users of AI systems to respect the confidentiality and security of personal dataC.The challenge of ensuring that personal data is not misused or abused by AI systems or malicious actorsD.The variety of measures, such as data anonymization, encryption, access controls, and consent management, that can be used to protect personal dataE.All of the above

In building risk models, an emerging difficulty that threatens populations at risk is 1 pointAddressing biases in the data AI algorithms use for training. Including healthcare utilization from EHR data.Addressing social services.Including social determinants of health.