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Explanation:
Implementing Privacy-Enhancing Technologies (PETs) is the most effective approach as it perfectly aligns with the AI Risk Management Framework's emphasis on privacy-enhanced AI. PETs such as de-identification, data aggregation, and anonymization effectively minimize the risk of exposing personally identifiable information (PII) during both the model training and operational phases, while still allowing the AI system to function effectively.
Option A is incorrect because merely assuring stakeholders without actively modifying how the data is handled within the AI system does not directly address the underlying privacy risks or comply with proactive privacy-by-design principles.
Option C is incorrect because restricting the model to publicly available data would completely undermine its stated purpose of providing personalized advertising experiences.
Option D is incorrect as it focuses solely on the security of data at rest (storage) rather than actively managing the privacy risks associated with the AI model's continuous data processing and utilization methods.
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Q.5597 You are a privacy officer at DataSecure Analytics, a data analytics firm that specializes in AI-driven marketing solutions. The company's latest AI model analyzes consumer data to provide personalized advertising experiences. However, there are growing concerns about how the AI model uses and potentially exposes individual consumer data, raising privacy issues. To address these concerns and ensure compliance with data protection regulations, your team needs to revise the AI system's approach to handling consumer data. In line with the AI Risk Management Framework's emphasis on privacy-enhanced AI, what is the most effective approach to address these privacy concerns?
A
Continue using the AI model as it is but assure stakeholders and consumers that all data is handled securely and in compliance with privacy laws.
B
Implement privacy-enhancing technologies (PETs) in the AI model, such as de-identification and aggregation techniques, to minimize the risk of exposing individual consumer data.
C
Restrict the AI model to use only publicly available consumer data, avoiding the need for any privacy enhancements in the model.
D
Increase the security measures around the stored consumer data, focusing on preventing unauthorized access but leave the model's data processing methods unaltered.